{"@context":"https://schema.org","@type":"ItemList","name":"Data Engineer Jobs: Find Your Next Career Opportunity","description":"Explore Data Engineer job opportunities in leading companies. Apply now and kickstart your career in data engineering. Find the latest Data Engineer roles here.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Senior Data Engineer – Microsoft Fabric & Azure","datePosted":"2025-09-23","description":"

Company Description

Our Story

Let’s be honest: there are lots of people out there doing what we do. We’re just not convinced they’re doing it right. Businesses are hungry for innovation and opportunity, but not at the cost of their independence. At Ollion, we’ve connected companies and capabilities around the world to help ambitious organizations make the most of their transformation and leave the status quo in the dust.

Working At Ollion

Innovation is risky. It demands bold steps and big questions, but that’s the price of making change. We’ve got our head in the cloud and two feet on the ground, channeling tech’s endless potential towards a single goal: making a world of difference. And we’re building a global team to do just that— a team capable of making game-changing breakthroughs without ever losing sight of the people it will impact. This is more than consulting. This is the change you can be.

The Ollion Difference

At Ollion, we’re all in on your independence. Our teams are seasoned. Our solutions are straightforward—sometimes even groundbreaking. And our engagements? Exactly as long as you want them to be. We deliver fresh thinking and hard-earned insight in a way that works for you and your customers, arming your organization with everything you need to make your transformation truly mean something.

WORKING WITH OLLION (our clients’ experiences)

Progress matters more than process. Our global team of cloud-native pros is all about creating new and better ways to work—not just by solving your tech challenges, but by using technology to solve your business challenges. We keep the formulas, frameworks, and ten-point plans to a minimum, tackling your most pressing problems with a proprietary mix of good-old-fashioned ingenuity and refreshing humanity.

Job Description

Key Responsibilities:

Lead the design, development, and deployment of scalable data pipelines and data warehouses using Microsoft Fabric components such as Data Factory, Synapse Analytics, and OneLake.
Implement and optimize ETL/ELT workflows integrating diverse data sources including cloud platforms (Azure, AWS), relational databases, and flat files.
Build and maintain semantic data models and dashboards using Power BI and other Fabric tools, ensuring high performance and data accuracy.
Develop and manage medallion architecture following industry best practices for data lakes within Microsoft Fabric.
Ensure rigorous data governance, security, and compliance leveraging Microsoft Purview and native security features.
Monitor, troubleshoot, and fine-tune data pipelines and platform performance, proactively resolving issues and ensuring reliability.
Collaborate closely with data scientists, analysts, and business stakeholders to translate business needs into technical solutions.
Integrate DevOps practices including CI/CD pipelines, version control, and automation using scripting languages such as Python or PowerShell.
Provide mentorship and knowledge transfer on Microsoft Fabric technologies and best practices.
Stay current with Microsoft Fabric updates and emerging data engineering trends.

Additional Responsibilities:

Integration API Monitoring and Incident Escalation: Implement robust monitoring of integration APIs and timely escalation of incidents.
Workspace and Resource Management: Create and manage Microsoft Fabric workspaces; manage Power BI datasets and data flows.
User Administration: Assign roles and permissions; manage user access and licenses to ensure secure and efficient operations.
Basic Reporting: Create basic reports and dashboards; share reports across the organization.
Troubleshooting Connectivity: Quickly identify and resolve connectivity issues impacting data workflows.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Qualifications

Minimum 5 years of progressive experience in data engineering, with at least 3 years working on Microsoft Fabric and Azure data services.
In-depth knowledge of Microsoft Fabric, an integrated, end-to-end analytics platform built on a SaaS foundation, combining Power BI, Azure Synapse Analytics, Azure Data Factory, and OneLake into a unified environment.
Experience with Fabric’s data engineering capabilities such as Spark-based transformations, lakehouse architecture using Delta Lake format, and integrated orchestration with Data Factory.
Proven ability to design, build, and manage cloud-based, scalable data pipelines and storage solutions using Microsoft Fabric and Azure Data Engineering Suite.
Familiarity with Power BI workspace management, datasets, dataflows, user roles, and report sharing within Fabric.
Strong programming skills in SQL and Python.
Hands-on knowledge of data governance, audit logging, and compliance frameworks powered by Microsoft Purview integration in Fabric.
Experience with monitoring tools, incident escalation, and managing API integration within a cloud data ecosystem.
Understanding of Azure Synapse Analytics offerings including Data Warehousing, Data Science, Real-Time Analytics, and how they integrate with Microsoft Fabric.
Excellent communication and problem-solving skills.

Additional Information

BENEFITS & PERKS FOR WORKING AT OLLION

Our employees multiply their potential because they have opportunities to: Create a lasting Impact, Learn and Grow professionally & personally, Experience great Culture, and Be your Whole Self!
\n

Beyond an amazing, collaborative work environment, great people, and inspiring, innovative work, we have some great benefits and perks:

Benchmarked, competitive, in-market total rewards package including (but not limited to): base salary & short-term incentive for all employees
Fully remote-first, small but Global organization; ‘learn wherever, whenever’ frees our people from a rigid view of learning and growth
Retirement planning (i.e. CPF, EPF, company-matched 401(k))
Globally, we build benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens. Employees have access to a fully comprehensive benefits package to choose the medical, dental, and vision insurance plan that best fits their lives. In addition to great healthcare coverage, we also offer all employees mental health resources and additional wellness programs.
Generous time off and leave allowances
And More!

Diversity At Ollion

One of our cultural keystones, ‘Find the angle’ recognizes that every individual has different aspirations, needs and brings a unique perspective.

We value diversity, inclusion, and equity (DE&I) as core to our success. We believe that a diverse workforce brings together unique perspectives, experiences, and ideas, leading to innovation, creativity, and better outcomes for our clients and our organization. We are on a journey and are committed to building a workplace that celebrates and respects individuals from all backgrounds, including but not limited to race, ethnicity, gender, sexual orientation, age, disability, and cultural heritage.

As our commitment to diversity and inclusion is reflected in our:

Awareness and sensitisation programs: to create awareness and sensitisation. We encourage open dialogue, active listening, and mutual respect, creating a safe and supportive environment for everyone to contribute their unique perspectives and ideas.
Dedicated efforts to building diverse teams: that leverage the strength of our differences to tackle complex challenges and drive innovation. By embracing diversity, we broaden our collective knowledge, enhance problem-solving capabilities, and unlock limitless potential for our employees.

All your information will be kept confidential according to EEO guidelines. Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

","hiringOrganization":{"@type":"Organization","name":"Ollion","sameAs":"https://ollion.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, MH, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Data Engineer, Driver Team","datePosted":"2025-09-23","description":"

Applications for this position will be accepted until October 6, 2025. Lyft reserves the right to close the application process early or extend the deadline at its discretion.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, with public transportation, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. We achieve this by processing millions of rides, taking into account the latest traffic information and analyzing the preferences of drivers.The Driver team sits at the heart of this mission, creating tools and insights that power safe, efficient, and rewarding driver experiences.

To strengthen our efforts, we are hiring a Data Engineer to help us make data driven decisions. Data Engineering is at the heart of Lyft’s products and decision-making. As a Data Engineer at Lyft, you will be tasked with developing robust data infrastructure—encompassing data transport, collection, and storage—and providing services that enable our leadership to make informed, risk-reducing decisions.

You will help architect, build, and launch scalable data pipelines to support Lyft’s growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers.

Responsibilities:

Build and maintain reliable, scalable data pipelines supporting driver insights and trip routing
Improve data models and schema design to meet evolving engineering and business needs
Monitor and improve data quality, consistency, and performance
Support internal users with self-serve ETL tools and real-time analytics pipelines
Collaborate cross-functionally with product, engineering, and data science teams

Experience:

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
2+ years of experience in data engineering, ideally with large-scale distributed systems
Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
Solid understanding of ETL processes, workflow orchestration, and data warehousing
A collaborative mindset—you’re comfortable working across teams to solve real-world problems

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is $108,000 - $135,000 CAD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

","hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://www.lyft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Field Data Engineer","datePosted":"2025-09-23","description":"

Company Description

SGS Australia is a leading provider of Testing, Inspection, and Certification services, supporting multiple industries across the country with trusted expertise and technical excellence. Backed by SGS’s global legacy of over 140 years, we operate one of the largest networks of accredited laboratories and field facilities in Australia, with a network of more than 50 offices and laboratories and over 1,400 employees across Australia. We are accredited by NATA and ISO 9001, ensuring our services meet both Australian and international standards.

Job Description

Join SGS as a Field Data Engineer, supporting our well testing operations across Australia. Based in Moomba, WA, QLD, NT, or SA, this is a fly-in, fly-out role (28/26 roster), with occasional workshop duties at home to assist with job preparation and equipment maintenance. This role is hands-on in the field, not just office-based, providing real-time data support to Well Test teams.

What You’Ll Do:

Set up, operate, and deliver accurate data acquisition to Well Test Supervisors and clients.
Maintain and troubleshoot data acquisition equipment (Fekete, SCAN, Fardux, WDSS, EDGE).
Assist Well Test personnel when necessary, supporting rig-up operations.
Ensure job programs are well understood, equipment is prepared, and operations run safely.
Accurately record and report test data in line with company and regulatory standards.
Support onsite operations, safety programs, and continuous improvement initiatives.
Participate in training, performance reviews, and contribute to team development.

Qualifications

What We’Re Looking For:

Strong knowledge of data acquisition systems (Fekete/SCAN/Fardux/WDSS/EDGE).
Basic understanding of well testing and cased hole operations.
Ability to interpret P&IDs and rig up sensors correctly.
Strong fault-finding and troubleshooting skills.
High computer literacy (MS Office, reporting systems, electronic product servicing).
Experience with GAGE/GALIP systems and electronic memory tools (GAGIS/CALEPUS/E-line tools) is beneficial but not essential.
Excellent attention to detail and ability to proofread reports.
First Aid Certificate.
Professional communication skills, especially with clients on site.
Availability to travel interstate

At SGS, you’ll be part of a global leader in testing, inspection, and certification services. We offer opportunities for continuous learning, professional growth, and the chance to contribute to safe and efficient operations in the oil and gas sector.

Additional Information

Why Work For Sgs?

Working at SGS means joining an innovative, Global company. Here are some of the benefits to working for SGS.

• As a company, we have embraced the shift to flexible work
• Sustainability is embedded in our culture and the way we do business
• Paid parental leave
• Paid time for volunteering day and blood donations
• Corporate health & wellbeing offers
• Ongoing learning & development
• Career development opportunities (Nationally and Globally)
• SGS Rewards: Our employee benefits platform with access to retail and online discounts and cashback

COME TO WORK AND BE 100% YOU
\n
\nSGS Australia supports a diverse workforce, we encourage applications from people of all ages, nationalities, abilities, and cultures – including Aboriginal and Torres Strait Islander peoples, the LGBTQI+ community and people living with disability. Providing employment opportunities for Aboriginal and Torres Strait Islander people is an important part of our SGS Reconciliation Action Plan (RAP). We truly believe the diversity among us will continue to foster a strong, innovative, and forward-thinking workplace.
\n
\nSGS Australia acknowledges and pays respect to the past, present and future Traditional Custodians and Elders of this nation and the continuation of cultural, spiritual, and educational practices of Aboriginal and Torres Strait Islander peoples.

","hiringOrganization":{"@type":"Organization","name":"SGS","sameAs":"https://sgs.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane City, QLD, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-23","description":"

Company Description

Lendi Group is a market-leading digital platform business that is focused on revolutionising the entire property journey. It operates Lendi - Australia’s original and #1 digital mortgage brand - and the iconic Aussie franchise.

Powered by an advanced AI proprietary platform, a national network of 1,300 brokers, 230 retail stores, a team of experienced buyer’s agents, integrated property search and conveyancing, Aussie is supporting customers at every step of their property journey to find, buy and own with more confidence than ever before. Lendi Group’s loan book is more than $100b and it was named Australia’s Aggregator of the Year for 2024.

To learn more about life at Lendi Group check out our blog: https://www.lendi.com.au/inspire/category/life-at-lendi/

Why Join Us?

Innovation at Our Core – We challenge the status quo and push boundaries to create better solutions.
Work with the Best – Collaborate with some of the brightest minds in fintech, financial services, and strategy.
Make an Impact – Contribute to meaningful projects that shape our business and the future of property finance.
Grow & Evolve – Develop your skills and advance your career in a fast-moving, purpose-driven environment.

Join our data engineering team as a Data Engineer, where you’ll play a key role in developing, maintaining, and optimising modern data pipelines. You’ll work hands-on with tools such as dbt, Airflow, Snowflake, and Databricks, building scalable data solutions that enable analytics and product insights across the business.

In this role, you’ll contribute to the design of data models, drive improvements in data quality and performance, and collaborate with stakeholders to deliver reliable, well-documented solutions. It’s an exciting opportunity for a mid-level engineer who wants to deepen their expertise in cloud data platforms while making a meaningful impact in a growing data team.

Job Description

Data Engineering & Pipeline Development

Design, build, and maintain scalable data pipelines using modern data stack tools (dbt, Airflow, Python).
Take ownership of troubleshooting and resolving issues in data workflows, ensuring reliable and timely data delivery.
Work with Databricks and Snowflake environments to support ingestion, transformation, and modelling of data.
Contribute to development and optimisation of Unity Catalog, Delta Live Tables, and Spark within Databricks.

Data Modelling & Solution Design

Collaborate with senior engineers and analysts to design and implement data models that support analytics and product needs.
Translate business requirements into technical solutions, including prototyping and proof-of-concepts.
Apply best practices in data modelling (Kimball, Data Vault, etc.) to ensure scalable and performant solutions.

Collaboration & Communication

Partner with data analysts, engineers, and business stakeholders to clarify requirements and deliver solutions.
Clearly communicate progress, challenges, and technical considerations to both technical and non-technical stakeholders.

Documentation & Governance

Maintain up-to-date documentation for pipelines, workflows, and solutions, ensuring knowledge is shared across the team.
Support data governance initiatives by monitoring data quality, applying standards, and flagging anomalies.

Performance & Optimisation

Proactively identify opportunities to optimise pipelines and improve performance in Databricks and Snowflake.
Support ongoing platform improvements and contribute to scaling best practices across environments.

Continuous Learning & Contribution

Stay across emerging trends and best practices in cloud data engineering.
Mentor junior engineers where appropriate and contribute to team knowledge-sharing activities.
Actively participate in improving team culture, ways of working, and engineering standards.

Qualifications

Essential:

2–4 years’ experience in data engineering or a related role.
Strong SQL skills and experience with data modelling techniques (e.g., Kimball, Data Vault).
Hands-on experience building and maintaining data pipelines using dbt, Airflow, or similar orchestration/ETL tools.
Practical exposure to Databricks (Spark, Delta Live Tables, Unity Catalog) and Snowflake (warehousing, performance tuning, security).
Proficiency in Python for data processing and automation.
Understanding of data governance, data quality, and best practices for managing cloud data platforms.
Strong problem-solving skills with the ability to troubleshoot and resolve data pipeline issues.
Good communication skills to collaborate with engineers, analysts, and business stakeholders.

Desirable:

Experience working in cloud platforms (AWS, Azure, or GCP).
Familiarity with CI/CD, infrastructure-as-code (Terraform, Git, etc.).
Exposure to BI/visualisation tools (Tableau, Power BI, or similar).
Previous experience in a mid-size to large data environment, supporting cross-functional teams.
Interest in mentoring juniors and contributing to team knowledge-sharing.

Additional Information

Lendi Group teams operate across Australia and the Philippines. Bringing together diverse expertise, innovative technology and a customer-first approach, our teams work seamlessly to simplify the property journey, helping Australians find, buy and own property with confidence.

We support our people in a variety of ways, but a few of the benefits that our people rave about include:

A vibrant, relaxed, yet professional culture.
Hybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration.
A holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work.
Generous paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers.
An additional week’s Loyalty Leave each year after reaching 3 years’ service.
Wellness initiatives with a strong focus on psychological safety.

We’re committed to fostering a diverse and inclusive community at Lendi Group. We believe that a team reflecting the world around us leads to greater innovation, stronger collaboration, and a more engaging workplace.

Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract, engage and evolve the right talent and build best-in-class products.

This is an opportunity to shape the future of a fast-growing, purpose-driven company that’s transforming the homeownership journey.

Ready to contribute to Lendi Group’s next chapter? Apply now and be part of something big!

#Lendigroup #Li-Gr2 #Li-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Lendi Group","sameAs":"https://www.lendigroup.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, NSW, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"(Senior) Data Engineer (Databricks/Snowflake) (m/w/d)","datePosted":"2025-09-23","description":"

Mit Capgemini entscheidest du dich für ein Unternehmen, in dem du die Möglichkeit hast, deine Karriere so zu gestalten, wie du es dir wünscht. Indem du von einer kollaborativen Gemeinschaft von Kolleg/innen auf der ganzen Welt unterstützt und inspiriert wirst und die Chance hast, dir neue Möglichkeiten vorzustellen. Komm zu uns und hilf uns den weltweit führenden Organisationen, den Wert von Technologien zu zeigen und eine nachhaltigere, inklusivere Welt zu schaffen.

Deine Rolle

Als Data Engineer bei Capgemini arbeitest du an der Spitze der digitalen Transformation – arbeite mit Echtzeitdaten in Databricks oder baue eine neue Architektur mit Snowflake auf. Deine Skills nutzt du, um komplexe Datenströme zu bändigen und daraus leisstungsstarke Lösungen zu formen.

\n\n

In dieser Position wirst du eine wichtige Rolle spielen in:

Daten verbinden, die bewegen: Du integrierst Daten aus APIs, Batch-Prozessen und Echtzeit-Datenströmen und sorgst für eine reibungslose Verarbeitung.
Strukturen schaffen, die bleiben: Du konzipierst und implementierst Datenmodelle, die sowohl technische als auch geschäftliche Anforderungen erfüllen.
Pipelines bauen, die skalieren: Du entwickelst robuste Datenpipelines, die große Datenmengen effizient verarbeiten und kontinuierlich weiterentwickelt werden.
Baue Architektur: Mit Snowflake gestaltest du eine moderne Datenarchitektur von Grund auf neu.

Dein Profil

Du hast mindestens 3 Jahre Erfahrung in der erfolgreichen Umsetzung von Data Projekten.
Du verfügst über Expertise in Databricks oder Snowflake, sowie idealerweise Zertifizierungen in jeweiligem Tool.
Du nimmst sehr gute Kenntnisse in SQL, Python, Automatisierung (CI/CD) und DevOps mit und verstehst nachgelaferte Prozesse (BI, Data Science, AI) und deren Anforderungen.
Du kennst dich sehr gut in der Datenmodellierung aus (Kimball, Data Vault) und weißt, wie man komplexe Datenstrukturen sinnvoll abbildet.
Du bist ein echter Teamplayer, kommunizierst klar und überzeugend – auf Deutsch und Englisch in Level C1.

Was Dir Bei Uns Besonders Gefallen Wird

Wir verstehen die Bedeutung flexibler Arbeitsregelungen, daher bieten wir HomeOffice und flexible Arbeitszeiten oder in ausgewählten EU-Staaten arbeiten mit unserem FlexAbroad Programm. Du erhältst ein Umfeld, in dem du eine gesunde Work-Life-Balance aufrechterhalten kannst.
Das Herzstück unserer Mission ist deine berufliche Entwicklung. Unser Angebot an Programmen für die berufliche Weiterbildung und verschiedenen Positionen ist darauf ausgerichtet, dich bei der Erkundung einer Welt voller Möglichkeiten zu unterstützen.
Rüste dich mit wertvollen Zertifizierungen in den neuesten Technologien wie Microsoft Azure, Databricks und Snowflake aus.
Wir bieten Zusatzleistungen wie regelmäßige Team- und Firmenveranstaltungen, monatliche Essensgutscheine, die Jahreskarte der Wiener Linien, Massagen im Büro und vieles mehr.

\n\n

Kollektivvertrag für Angestellte in Information und Consulting, Mindestgehalt von 60.000,- Euro brutto pro Jahr, marktkonforme Überzahlung abhängig von Qualifikation und Erfahrung.

Wir freuen uns über Deine Bewerbung auf Englisch, ausschließlich über unser Bewerbungsportal und unter Angabe von Gehaltsvorstellung und frühestmöglichem Eintrittszeitpunkt.

ÜBer Capgemini

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 350.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, Cloud und Daten sowie seine profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2023 weltweit einen Umsatz von 22,5 Milliarden Euro.

","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://www.capgemini.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vienna, AT","addressCountry":"Austria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Big Data Engineer, Adobe Experience Platform","datePosted":"2025-09-23","description":"

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Adobe Experience Platform is the Adobe solution that helps customers to centralize and standardize their customer data and content across the enterprise powering 360-degree customer profiles, enabling data science and data governance to drive real-time personalized experiences. With Experience Platform, enterprises will be able to apply completely coordinated marketing and analytics solutions for driving meaningful customer interactions. The Unified Profile Services team is the core of the Adobe Experience Cloud platform. We provide robust, real-time microservices to our customers.

We help thousands of customers collect, manage and synthesize petabytes of data with high fidelity and velocity. We help them make sense of that data, get insights and run algorithms, so they can deliver delightful experiences in real-time, every time. If building new secure micro-services in the cloud based on open-source technologies at large-scale is something you’re into or even might interest you, let’s share some thoughts, we’d like to meet!

Learn More:

https://www.adobe.com/experience-platform.html

https://www.adobe.io/apis/experienceplatform/home.html

https://experienceleague.adobe.com/docs/experience-platform/rtcdp/overview.html?lang=en

What You'Ll Do

You will lead an autonomous Scrum team, assembled to design, build and deliver distributed, resilient, scalable, highly available services and software components that compose our design, implementation and uptime.
Provide technical leadership to the team, review others' design and code.
Assist team in solving code level problems quickly and efficiently
Perform on-call activities, on rotation with the rest of the team
Drive adoption of quality and cost-efficient principles in the team
Collaborate with other teams and roles to transform the business requirements into feature specs, establish integration design, resolve dependencies and adopt best-practices.
Build consensus with broader organization on technical direction.
Share knowledge via mentoring, presentations, blogs and conference.
Research, prototype and stay up to date with the evolution of the industry.

What You Need To Succeed

BS/MS or equivalent experience in Computer Science, 9+ years of commercial software development experience
Good development skills in Java / Scala with confirmed experience of writing clear, good-quality and well-documented code for building high-scale high-performance and secure services.
Good understanding of OOD, Develop, RDBMS & NOSQL database, web services, micro-services, REST, CI/CD, source control tools, DevOps principles, observability.
Knowledge of distributed computing systems, Cloud infrastructures (Azure/AWS), Spark, Kafka, Kubernetes
Strong algorithm and logical skills, very good problem-solving skills, ability to deep-dive to find the root of the problem
Able to communicate technical details clearly to all levels of organization. Excellent written and spoken English.
Being adaptable to a dynamic environment, used to experiment and research
Awareness of good software development and testing practices
Show initiative and have a self-managed approach

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

","hiringOrganization":{"@type":"Organization","name":"Adobe","sameAs":"https://www.adobe.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bucharest, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Platform Data Engineer - Azure Databricks","datePosted":"2025-09-23","description":"

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are seeking a Platform Data Engineer to help lead the transformation of our data infrastructure from legacy on-premise systems to a modern Azure Lakehouse architecture. Based primarily in Melbourne, this role supports teams and stakeholders across the eastern states of Australia. You will design, build, and maintain scalable data platforms that enable secure, reliable, and high-performance data operations for analytics, reporting, and advanced use cases.

\n\n

Key Responsibilities

Cloud Platform Engineering

Design and implement data infrastructure using Azure Synapse Analytics, Azure Databricks, Data Lake Storage Gen2, Delta Lake, and Azure Data Factory.
Support the migration of on-premise data assets to Azure, ensuring data integrity and minimal disruption.

Data Pipeline Development

Build and maintain robust ETL/ELT pipelines using Spark, Python, and SQL.
Ensure pipelines are modular, reusable, and integrated with CI/CD workflows.

Infrastructure as Code & Automation

Use Terraform, Bicep, or ARM templates to provision and manage cloud resources.
Automate deployment and monitoring of data services using Azure DevOps or GitHub Actions.

Performance & Reliability

Monitor and optimise data platform performance, storage, and compute resources.
Implement diagnostics, logging, and alerting using Azure Monitor and Log Analytics.

Collaboration & Support

Work with cross-functional teams across Melbourne, Sydney, Brisbane, and Canberra to deliver consistent platform capabilities.
Provide technical support and documentation for platform components and data

Experience Required:

Demonstrated experience with Azure data services (Databricks, Synapse, Data Lake, Data Factory), Spark, Python, and SQL.
Proven ability to design and implement cloud-based data platforms and migrate legacy systems.
Experience with deployment and CI/CD tools (Azure DevOps, GitHub Actions).
Strong skills in monitoring, troubleshooting, and optimising data platforms.

What You’Ll Love About Working Here

We recognise the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://www.capgemini.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne, AU","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Data Science","datePosted":"2025-09-22","description":"

Company Description

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.

We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products.
Perform all of the necessary data transformations to serve products that empower data-driven decision making.
Build and manage data pipelines, design and architect databases.
Establish efficient design and programming patterns for engineers as well as for non-technical partners.
Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale.
Ensure best practices and standards in our data ecosystem are shared across teams.
Understand the analytical objectives to make logical recommendations and drive informed actions.
Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
Be a self-starter, Initiate and drive projects to completion with minimal guidance.
Contribute to engineering innovations that fuel LinkedIn's vision and mission.

Qualifications

Basic Qualifications

Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
3+ years of relevant industry or relevant academia experience working with large amounts of data
Experience with SQL/Relational databases
Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)

Preferred Qualifications

BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience working with large amounts of data
MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Experience in developing data pipelines using Spark and Hive.
Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
Experience with using distributed data systems such as Spark and related technologies (Presto/Trino, Hive, etc.).
Experience with either data workflows/modeling, front-end engineering, or back-end engineering.
Deep understanding of technical and functional designs for relational and MPP Databases
Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, streamlit, D3, and other libraries, etc.
Knowledge of Unix and Unix-like systems, version control systems such as Git.

Suggested Skills

Distributed Systems
ETL
Data Modeling

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $206,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Additional Information

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance 

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement 

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates 

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

","hiringOrganization":{"@type":"Organization","name":"LinkedIn","sameAs":"https://www.linkedin.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"HR Analytics & Data Engineer","datePosted":"2025-09-22","description":"

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your Future Role Within Qrt:

As an Analytics Engineer in the HR Technology team, you will play a critical role in building and maintaining data infrastructure to support HR insights and analytics. You will focus on transforming raw data into structured formats, ensuring data is clean, accessible, and ready for use - bridging the gap between technical and business teams. You will collaborate with multiple business areas to deliver high quality data-driven analytics that empower managers, business partners and senior leaders in their roles.

Build and maintain scalable, secure data pipelines across platforms using AWS tools like S3, RDS and Redshift.
Ensure accuracy through regular testing, monitoring, and troubleshooting to enable smooth data flow.
Centralise data from sources like Workday and Greenhouse into warehouses for BI tools
Use Python and other tools to automate and optimise data workflows for seamless operations.
Partner with HR, analytics engineers, and leadership to deliver actionable insights, ensuring alignment between technical capabilities and business requirements.
Support interactive BI dashboards (e.g. Python Dash, PowerBI, Tableau etc) that empower data-driven decisions.
Create documentation and set documentation standards for data assets & products: ETL documentation, metric glossary.
Uphold data security and compliance with best practices for access control.
Document data pipelines, models, and transformations to support transparency, reproducibility, and scalability.

Your Present Skillset:

3-5 years of relevant experience developing data-driven applications, ideally related to Talent/HR Analytics.
Strong proficiency in Python for building data pipelines, writing automation scripts and handling large datasets.
Experience with cloud platforms, especially AWS (S3, RDS, Redshift) for building data storage and processing solutions.
Experience using ETL tools to build and automate scalable data workflows.
Strong understanding of data modelling concepts, metrics and semantic layers and their application in BI environments.
Experience working with HR data and platforms like Workday, as well as an understanding of HR metrics and KPIs (e.g., retention, engagement, performance) is a plus!
Some front-end skills in JavaScript, HTML, CSS, with experience using libraries like React, Bootstrap, or similar

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

","hiringOrganization":{"@type":"Organization","name":"Qube Research & Technologies","sameAs":"https://www.qube-rt.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT
Contributing into software and infrastructure design and implementation in AWS cloud environment
Developing data pipelines in Python using data libraries and cloud SDKs
Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access
Optimizing performance of the data lake as well as OLAP databases in cross-region environment
Ensuring data completeness and quality across critical pipelines
Build and support tailored data solutions for Quants and Traders

Your Present Skillset

5+ year of experience and proven track record of building data platforms
Python and SQL mastery are essential. C++ is a big plus
Appetite to contribute into cloud infrastructure
Ability to build a structured approach to problem-solving
Independent and autonomous while still a strong team player
Intellectual curiosity to learn rapidly
Finance experience is highly desirable

\n\n

","hiringOrganization":{"@type":"Organization","name":"Qube Research & Technologies","sameAs":"https://www.qube-rt.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hong Kong","addressCountry":"Hong Kong","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT.
Contributing into software and infrastructure design and implementation in AWS cloud environment.
Developing data pipelines in Python using data libraries and cloud SDKs.
Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access.
Optimizing performance of the data lake as well as OLAP databases in cross-region environment.
Ensuring data completeness and quality across critical pipelines.
Build and support tailored data solutions for Quants and Traders.

Your Present Skillset

5+ year of experience and proven track record of building data platforms.
Python and SQL mastery are essential. C++ is a big plus.
Appetite to contribute into cloud infrastructure.
Ability to build a structured approach to problem-solving.
Independent and autonomous while still a strong team player.
Intellectual curiosity to learn rapidly.
Finance experience is highly desirable.

","hiringOrganization":{"@type":"Organization","name":"Qube Research & Technologies","sameAs":"https://www.qube-rt.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Data Engineer - Tooling","datePosted":"2025-09-22","description":"

Join our Data team to architect and build the tools used to create new data-sources and monitor key production systems. This role offers hands-on exposure to the core datasets used by QRT, and will partner closely with other technology teams, quants, and traders, building systems that guarantee the integrity of our data and avoid trading losses.

\n\n

Your future role within QRT
We’re looking for a hands-on Data Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform.

\n\n

Data Quality ToolsYour key deliverable is to develop and maintain a platform which ensures the quality of our data-pipelines, and alerts stakeholders to critical production issues.
Library MaintenanceMaintain and improve shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets.
Cross-team IntegrationsDesign, build, and document our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines.
Observability & MonitoringBuild out the observability stack (logs, metrics, tracing) to monitor our data assurance system, as well as other tools for the management of our data-pipeline lifecycle.
Platform SupportSupport users in best practice usage of our tooling, migrate code to the latest standards as well as investigate, debug and resolve issues with our platform.

\n\n

Your present skillset
You thrive at the intersection of software engineering, data operations, and DevOps. You’re comfortable both architecting solutions and writing the code to deploy and maintain them, and you relish collaborating with diverse stakeholders to turn requirements into production-grade systems.

\n\n

5+ years of hands-on experience in data engineering or data-adjacent engineering roles
Strong software engineering fundamentals and proficiency in Python
Experience with workflow orchestration frameworks (e.g. Argo, Celery, Airflow)
Experience designing and implementing RESTful APIs and internal service integrations
Experience with observability tools (e.g. Prometheus, Grafana, CloudWatch)
Familiarity with Kubernetes, container orchestration, and cloud infrastructure (AWS preferred)
Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus
Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus
Knowledge of ETL/ELT pipelines, and metadata management is a plus
Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders
Self-starter mentality with the ability to work autonomously within a globally distributed team

\n\n

","hiringOrganization":{"@type":"Organization","name":"Qube Research & Technologies","sameAs":"https://www.qube-rt.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"

Company Description

We are One Sutherland — a global team where everyone is working together to create great breakthrough solutions. Our workforce has thrived in an environment of diversity of thought, experience and background. We celebrate our diversity and embrace it whole-heartedly. Sutherland is an equal opportunity employer. We promote a positive work environment by conducting ourselves professionally and helping each other achieve our goal of One Sutherland Team, Playing to Win.
\n
\nSutherland was founded 38 years ago (1986). Since then, we have become a leading global provider of business process and technology management services offering an integrated portfolio of analytics-driven back office and customer-facing solutions that support the entire customer life cycle.

Job Description

Sutherland is seeking an experienced Integration Engineer to deliver the technical aspects of product deployments for NICE Systems' customers. This is a technical consulting role which involves direct interaction with customers to understand their business data and to design and implement creative solutions to integrate the data with the NICE Performance Management Application. NICE Integration Engineers also design and develop end-user functionality such as forms, workflows and reports for customer implementations.

Main Responsibilities and Deliverables Strengthen relationships:

Implement custom deployments of the NICE product suite for clients
Integrate NICE's applications with other enterprise systems and data sources using ETL, XML, and scripting languages
Work closely with customer and NICE Client Services team on all technical aspects of a NICE deployment, including but not limited to – data mapping, form and workflow design and implementation, report design and implementation.
Work with other NICE Integration Engineers to share best practices and knowledge

Our most successful candidates will have:

Excellent technical and analytical skills.
In-depth knowledge of data handling and SQL.
Integration experience with enterprise software.
Excellent organizational skills, ability to set own task lists and timelines.
Excellent verbal and written communication skills and ability to work in a team.
Demonstrated interest and ability to communicate across technology and business boundaries. • Bachelor's degree in computer science (or equivalent).

Qualifications

Responsibilities:

Implement custom deployments of the NICE product suite for clients
Integrate NICE's applications with other enterprise systems and data sources using ETL, XML, and scripting languages
Work closely with customer and NICE Client Services team on all technical aspects of a NICE deployment, including but not limited to – data mapping, form and workflow design and implementation, report design and implementation.
Work with other NICE Integration Engineers to share best practices and knowledge
Provide input to NICE’s Product Management group on how to enhance future products Valuable skills:
Linux, Windows 2000/3 • XML, Java, JSP, HTML, Perl
Oracle, SQL Server, DB2
Experience as a DBA, System Administrator, or Network Administrator
Experience implementing and managing data warehouses
Experience with Hadoop or other Big Data platforms
Familiarity with Business Intelligence tools (e.g. Business Objects, Cognos, SAS)
Familiarity with ETL tools (e.g. Informatica, Brio)

","hiringOrganization":{"@type":"Organization","name":"Sutherland","sameAs":"https://www.sutherlandglobal.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bogotá, //BOGOTA, Colombia","addressCountry":"Colombia","addressRegion":"South America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Data Engineer II, Banking","datePosted":"2025-09-22","description":"

This Is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Data Engineer

Adyen is looking for a Data Engineer II to join the Bank Reporting team in Chicago. Merchants use the products built by the Reporting teams to understand their usage of the Adyen platform in detail and perform financial reconciliation. This is a key workflow for our merchants’ continued use of our financial products. As a result, this role requires a solid understanding of both the business context and its data needs, with a focus on building high-quality data pipelines on our Big Data Platform. As a Data Engineer at Adyen, you will be instrumental in maintaining our data infrastructure and ensuring smooth data flows across systems, as well as understanding how the Adyen platform works at a deep level and translating that complexity into simplicity for our merchants.

What You’Ll Do

Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions.
Quality Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability.
Data Best Practices: Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives.
High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest.
Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations.

Who You Are

Experienced in Big Data: Around 3 years of experience working as a Data Engineer or in a similar role.
Technical Skills: Proficient in tools and frameworks such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, Druid, SQL or similar data tools.
Clear Communicator: Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.
Self-starter: Capable of identifying opportunities, devising solutions, and handling projects independently.
Innovator: You have an experimental mindset with a ‘launch fast and iterate’ mentality.
Data Culture Champion: Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.

Data positions at Adyen

We know companies have different definitions for their data-related positions - for instance, various company sizes may approach data positions differently. Since creating Data as a standalone discipline at Adyen, we have categorized and defined all our positions. Have a look at this blogpost to find out more information about how Data positions look at Adyen.

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’S Next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

\n\n

This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

","hiringOrganization":{"@type":"Organization","name":"Adyen","sameAs":"https://www.adyen.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.

Job Description:

Strider is revolutionizing the way companies, universities, research institutions, and government agencies protect their innovation and compete in a new era of global strategic competition. Our trailblazing technology and intelligence solutions enable clients to proactively identify, manage, and respond to foreign government directed IP theft and supply chain vulnerabilities. We are a data company. We have billions of documents online and are collecting millions of new documents each day. The Data Engineering team is responsible for building structured data assets from these raw documents to build new products and enhance existing ones.

If you’re ready to be part of an elite team tackling some of the most pressing security and technology challenges, let’s talk.

Responsibilities For This Role:

Develop large scale data processing pipelines
Create data assets from unstructured data
Build and support internal and external facing APIs
Author design documents
Mentor teammates
Drive software engineering best practices
Participate in code reviews
Collaborate with a talented cross-functional team of engineers, data scientists and subject-matter experts

You Are A Good Fit For This Role If You:

Have 4-5+ years of software engineering experience
Previous experience working in a data heavy role
Understand how to use cloud infrastructure effectively
Are a natural problem solver with an affinity for data
Are opinionated about how software is built
Are proficient at breaking down large, sometimes ambiguous, problems into well-defined tasks
Value shipping code early and often
Have a well-honed mental model for how software systems execute and interact

Technologies We Use:

Python
Elasticsearch
Memgraph
Flyte
AWS (EC2, S3, SQS, DynamoDB, Lambda, EKS)

Benefits

Competitive Compensation
Company Equity Options
Flexible PTO
Wellness Reimbursement
US Holidays (Office Closed)
Paid Parental Leave
Comprehensive Medical, Dental, and Vision Insurance
401(k) Plan

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

","hiringOrganization":{"@type":"Organization","name":"Strider Technologies","sameAs":"https://www.striderintel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tysons, Virginia, United States South Jordan, Utah, United States,","addressCountry":"Jordan","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Data Engineer (East Coast Remote)","datePosted":"2025-09-22","description":"About Empassion
Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.Ready to Make a Difference?
If you’re driven by data, healthcare, and impact, apply and let’s talk!
","hiringOrganization":{"@type":"Organization","name":"Empassion","sameAs":"https://empassion.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Cloud Data Engineer","datePosted":"2025-09-22","description":"

General Purpose & Essential Duties

The Cloud Data Engineer conceptualizes and builds pipelines that contextualize and provide easy access to the data for the entire organization. They possess the ability to guide organizational growth and develop data solutions that translate complex data into user-friendly terminology. The Cloud Data Engineer will design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning, and business intelligence/insights. The Cloud Data Engineer is also responsible for providing IT support based on the company’s needs.

Build and operationalize complex data solutions/data warehouse, correct problems, apply transformations, and recommend data cleansing and data quality solutions using Azure Data Factory.
Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to overall data strategy.
Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
Incorporate core data management competencies including data governance, data security and data quality.
Act as a data and technology subject matter expert (SME) within lines of business to support delivery and educate end users on data products and the analytic environment.
Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
Build and maintain Power BI, SQL reports and SSIS packages as needed
Documents, designs, monitors SQL servers’ processes and security
IT support based on company needs

Required Education, Experience, Skills & Knowledge

Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.
Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.
Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.
Excellent time management skills with the proven ability to work on multiple projects and stay within scope, schedule, cost, and quality specifications.
Proficient with Azure Data Factory, Pipelines, Microsoft SQL Server Management Studio, Visual Studio and SQL scripting.
Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
Bachelor’s Degree in STEM related field or equivalent training with data tools, techniques, and manipulation.
5+ years of data engineering or equivalent experience.
Experience developing reports using Power BI/SQL Server Reporting Services
Microsoft SSAS development experience a plus

","hiringOrganization":{"@type":"Organization","name":"Guardian Alarm","sameAs":"https://guardianalarm.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Southfield, Michigan, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Data Engineer, Data Lake","datePosted":"2025-09-22","description":"

Company Description

Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.

Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.

Pismo’s 500+ employees are located in more than 10 countries around the world.

Job Description

Summary

Data Teams play a central role at Pismo, providing data-intensive analytics for internal product teams, while also processing and delivering TBs of high-quality data, mainly in streaming form, needed by our partners to produce outstanding products downstream.
\nOperating mainly in Brazil, the data team recently extended its scope to accelerate the platformization of data services globally, with representatives in Europe and soon in the US and Asia. We are looking for talented engineers who share our culture of trust, mutual responsibility, and technological excellence to be part of this unprecedented and diverse global data organization.

What You'Ll Do

Serve as a senior technical contributor on Pismo’s data stack, leading the design and development of robust, scalable data pipelines using modern Big Data frameworks.
Drive continuous improvement in platform performance, reliability, and cost-effectiveness, proactively identifying opportunities for innovation.
Take ownership of production operations and monitoring (file-based systems), ensuring adherence to SLAs and applying best practices for observability and resilience.
Collaborate with cross-functional teams to architect, build, and evolve high-complexity data features, reducing technical debt and championing engineering excellence.
Provide mentorship to peers through code reviews, feedback, and support, fostering an environment of knowledge sharing and professional development.
Ensure that data pipelines follow the best testing, monitoring, observability, and security practices.
Participate in on-call rotations, promptly addressing and resolving production incidents, while proactively implementing preventative measures.
Build and optimize ETL/ELT processes to handle large-scale data, leveraging advanced data processing and distributed systems techniques.
Maintain rigorous data governance and platform standards, working closely with data stakeholders to ensure consistent, high-quality data assets.
Conduct root-cause analyses for critical issues, challenging and refining team processes to enhance efficiency and reliability.
Influence multiple teams by promoting a culture of technical excellence, forward-thinking solutions, and continuous improvement.

This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.

Qualifications

Basic Qualifications

2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
B1 English or Above (Intermediate)
Strong experience as a Data Engineer
Good experience with AWS services (e.g., S3, DMS, Lambda, Kinesis, and IAM)
Apache Spark experience or similar tools (e.g., Flink, Hadoop)
Python experience
Architectural design experience
Git/GitHub experience
Monitoring tools: Grafana and CloudWatch (logs/tracing/spans/monitoring/alerts/dashboards)
SQL experience

Desirable Qualifications

CI/CD experience
Airflow experience
CDC (Change data capture) experience

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

","hiringOrganization":{"@type":"Organization","name":"Visa","sameAs":"https://visa.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São Paulo, SP, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Data Engineer, Global Operations Analytics and Technology","datePosted":"2025-09-22","description":"

The Role

The position is part of the Global Operations Analytics & Technology Alliance, which has the mission to harmonize supply chain data to enable easier data-driven decision making across our enterprise domains. GOAT Alliance helps produce a supply chain environment that ensures the highest quality product while adapting to changing customer needs.

Our Data Engineers assume development and operational responsibility for the HelloFresh Platform that enables serving millions of customers globally by providing the best & efficient experience for our customers and internal users.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

\n\n

What You’Ll Do

Take ownership of the end-to-end process, including architecture, design, development, deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.
Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams
Demonstrate an in-depth understanding of HelloFresh’s core product and architecture, and act as ambassador for software solutions offering support and mentorship to colleagues
Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, PySpark, Kubernetes, Airflow, Databricks, as well as our in-house Data Pipeline tools

\n\n

What You’Ll Bring

Solid software engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python
Hands-on experience with cloud computing and data processing technologies, including PySpark, Kubernetes, Kafka
Expertise in data modeling, relational databases (e.g., PostgreSQL), and object stores (e.g., AWS S3), cloud data platform (e.g. databricks), Data warehouse (e.g. Snowflake)
Proven expertise in making efficient and robust data pipelines, including optimizing their performance
Passion for data quality assurance, data monitoring
Expertise in end-to-end development processes, including unit, integration & functional testing, application tuning/profiling, and continuous integration
Extensive experience with agile methodologies, with a strong focus on delivery, lean thinking, and quick iterations
Ability to continuously develop yourself and learn from your peers
Ability to collaborate and mentor team members, while also sharing practical knowledge and trends
Familiarity with e-commerce and subscription-based businesses is a plus

Interacting with back-end developers, front-end developers, product analysts, product managers and other teams around the world is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their engineering skills to a wide range of platforms and environments, while also acting as an ambassador to coach team members and stakeholders.

\n\n

You’Ll Get

Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
Generous PTO, including sabbatical, and parental leave of up to 16 weeks
Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
Tuition reimbursement for continuing education
Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

\n\n\n

Colorado Job Application Fairness Act (JAFA)

\"Our company is committed to fair hiring practices and complies with all applicable laws, including the Colorado Job Application Fairness Act (JAFA). In accordance with JAFA, we will not request your age, date of birth, or dates of attendance at or graduation from an educational institution on your initial application for employment.

When submitting supporting documents such as a resume, curriculum vitae (CV), or educational transcripts, you may voluntarily redact or omit any information that would identify your age. This includes:

Dates of birth
Dates of attendance at educational institutions
Dates of graduation

Your decision to redact this information will not adversely affect the consideration of your application. We evaluate all candidates based on their skills, qualifications, and experience. Please be aware that should you receive a conditional offer of employment, we may be required to request this information for legally permissible purposes, such as verifying eligibility for employment or for benefits administration and background checks.\"

\nColorado Pay Range$100,000—$110,000 USD","hiringOrganization":{"@type":"Organization","name":"HelloFresh","sameAs":"https://www.hellofresh.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boulder, Colorado, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Data Engineer, Global Operations Analytics and Technology","datePosted":"2025-09-22","description":"

The Role

\n\n

What You’Ll Do

Take ownership of the end-to-end process, including architecture, design, development, deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.
Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams
Demonstrate an in-depth understanding of HelloFresh’s core product and architecture, and act as ambassador for software solutions offering support and mentorship to colleagues
Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, PySpark, Kubernetes, Airflow, Databricks, as well as our in-house Data Pipeline tools

\n\n

What You’Ll Bring

Solid software engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python
Hands-on experience with cloud computing and data processing technologies, including PySpark, Kubernetes, Kafka
Expertise in data modeling, relational databases (e.g., PostgreSQL), and object stores (e.g., AWS S3), cloud data platform (e.g. databricks), Data warehouse (e.g. Snowflake)
Proven expertise in making efficient and robust data pipelines, including optimizing their performance
Passion for data quality assurance, data monitoring
Expertise in end-to-end development processes, including unit, integration & functional testing, application tuning/profiling, and continuous integration
Extensive experience with agile methodologies, with a strong focus on delivery, lean thinking, and quick iterations
Ability to continuously develop yourself and learn from your peers
Ability to collaborate and mentor team members, while also sharing practical knowledge and trends
Familiarity with e-commerce and subscription-based businesses is a plus

\n\n

You’Ll Get

Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
Generous PTO, including sabbatical, and parental leave of up to 16 weeks
Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
Tuition reimbursement for continuing education
Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

\n\n

Colorado Job Application Fairness Act (Jafa)

Dates of birth
Dates of attendance at educational institutions
Dates of graduation

\n\n

Application Deadline: August 5, 2025

\nNew York Pay Range$100,000—$115,000 USDColorado Pay Range$100,000—$110,000 USD","hiringOrganization":{"@type":"Organization","name":"HelloFresh","sameAs":"https://www.hellofresh.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boulder, Colorado, United States; New York, NY, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"AI Data Engineer","datePosted":"2025-09-22","description":"

Nanonets has a vision to help computers see the world starting with reading and understanding documents. Our product helps businesses automate document related workflows for enterprise office teams such as invoice data entry for AP teams, KYC automation for banks and insurance etc. Some of the companies we work with include Toyota, Boston Scientific, Bill.com and Entergy to name a few.

We recently raised a series B round of $29 million. Now we’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

Nanonets is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.

About The Role

We are seeking a motivated and adaptable AI Data Engineer with a strong interest in data infrastructure. This role will play a crucial role in scaling data sets that we use for training our AI models. The ideal candidate will be passionate about building robust and efficient data pipelines, ensuring data quality, and contributing to the advancement of our AI capabilities.

Responsibilities:

Large-Scale Data Collection (millions of records):

Gather data through web scraping or utilize existing open datasets.
Alternatively, leverage Nanonets' internal datasets via our APIs.

Dataset Filtering, Cleaning, And Validation:

Use foundational models or rule-based approaches to filter and clean datasets.
Ensure dataset integrity through comprehensive validation.

Data Visualization:

Work with tools like Streamlit or Gradio for effective data visualization.

Benchmarking:

Run existing benchmarks on models to assess their performance.

Model Migration:

Migrate models from older versions to newer ones based on benchmark results.

Collaboration With Annotators:

Coordinate with annotators to ensure accurate and consistent data labeling.

Qualifications:

B.E/B.Tech from a reputed school.
0-3 years of experience.
Strong hands-on experience in Python
Good written and verbal communication skills.
Strong interpersonal skills, with the ability to build rapport.

Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.

","hiringOrganization":{"@type":"Organization","name":"Nanonets","sameAs":"https://nanonets.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"\n\n

Technical

Departmento: Engineering - Data
Nível: Pleno
Modelo de contratação: CLT
Local de trabalho: Remoto

\n\n

Sobre a AB InBev

A AB InBev é a cervejeira líder global e uma das 5 maiores empresas de produtos de consumo do mundo. Com mais de 500 marcas de cerveja, somos a número um ou dois em muitos dos principais mercados de cerveja do mundo, incluindo a América do Norte, América Latina, Europa, Ásia e África.

About ABI Growth Group

Criado em 2022, o Growth Group unifica as nossas equipas business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution e Marketing. Ao reunir funções tecnológicas e comerciais globais, o Growth Group permite-nos tirar o máximo partido dos dados e impulsionar a transformação digital e o crescimento orgânico da AB InBev em todo o mundo.

About Bees:

Como uma célula tecnológica de nossa organização, temos um objetivo simples: crescer. Crescer como pessoas, como profissionais, como empresa. Para alcançar isso, utilizamos a tecnologia para criar soluções digitais que simplificam a vida de nossos clientes, tornam suas decisões mais inteligentes e seus negócios mais lucrativos. Com escritório em São Paulo e Campinas, incentivamos nosso time a participar presencialmente em grandes eventos e reuniões significativas ao longo do ano.

Responsabilidades:

Implementar soluções ETL/ELT e integração de dados entre vários sistemas e fontes de dados.
Conceber, implementar e manter pipelines de dados para ingerir, armazenar e processar grandes volumes de dados.
Colaborar com outras equipes para garantir a segurança e a conformidade dos dados.
Conceber, desenvolver e implementar soluções para otimizar o desempenho e a escalabilidade dos sistemas de processamento de dados.

\n\n

Requerimentos E QualificaçõEs:

Licenciatura em Ciências Informáticas, Engenharia Informática, Sistemas de Informação, Análise de Desenvolvimento de Sistemas ou similar;
Inglês Intermediário;
Aplicar conhecimentos sobre conceitos e ferramentas de pipeline de dados para implementar tarefas de transformação, limpeza e agregação de dados.
Utilizar estruturas e bibliotecas de pipeline de dados para automatizar tarefas de processamento de dados e otimizar fluxos de trabalho.
Seguir as melhores práticas de desenvolvimento de pipelines de dados, incluindo controle de versões, testes e documentação exaustiva.
Aplicar competências de programação em Python, PySpark, Scala e SQL para manipular e transformar dados de forma eficaz.
Compreender e utilizar plataformas e serviços de computação em nuvem oferecidos por fornecedores como AWS, Azure e Google Cloud.
Desenvolver pipelines de dados utilizando estruturas de orquestração (por exemplo, Apache Airflow, Luigi, Mage, Databricks Workflows), integrando com PySpark e/ou Scala, conforme necessário.
Compreender e aplicar princípios de conceção de software a projectos de engenharia de dados.
Aplicar técnicas de modelação de dados para conceber modelos de dados eficientes e escaláveis.
Otimizar o desempenho das consultas PySpark e SQL, tendo em conta o volume de dados, a complexidade das consultas e os recursos do sistema.
Utilizar ferramentas de dados para ingestão, transformação, análise e visualização.

\n\n

Soft Skills:

Raciocínio lógico e competências analíticas;
Cumprimento de prazos e qualidade do trabalho;
Diálogo eficaz e transparente com outras áreas e colegas de trabalho;
Capacidade de comunicação e relacionamento interpessoal para apresentar casos e discuti-los com outras áreas envolvidas;
Ser autónomo nas atividades;

Diferenciais:

Desenvolver e manter APIs para troca de dados entre aplicações.
Experiência com plataformas de computação em nuvem (AWS, Azure, Google Cloud) e seus serviços.
Utilizar estruturas de automação usando ferramentas como Azure DevOps, Terraform e Github Actions.

\n\n

BenefíCios:

Bonus baseado no desempenho*
Bonus de assiduidade*
Plano de pensão privado
Auxílio refeição
Dress code e escritório informal
Dias de folga*
Seguro de saúde, dentário e de vida
Descontos em medicamentos
Parceria Gympass
Auxílio creche
Descontos em produtos Ambev*
Parceria Clube Ben
Bolsa de estudo*
Garantia do material escolar
Plataformas linguísticas e de formação
Auxílio transporte

*Rules Applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.

For more information: www.abinbev.com

\n","hiringOrganization":{"@type":"Organization","name":"BEES","sameAs":"https://www.bees.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Campinas, São Paulo, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Teradata, SQL, BigQuery)","datePosted":"2025-09-22","description":"

Description De L'Entreprise

Notre mission depuis 30 ans ? Être présent au bon moment !

Notre expertise ? Accompagner nos clients à capter l’attention de l’utilisateur et transformer cette interaction furtive en une interaction mémorable. C’est dans cette optique que nous accompagnons les entreprises dans la mise en œuvre, et le pilotage de dispositifs digitaux pour une expérience utilisateur réinventée.

La juste interaction, c’est quoi ? C’est capter notre attention au bon moment, au bon endroit et la convertir en envie et en confiance. Un équilibre subtil entre le trop et le trop peu. Entre le trop tôt et le trop tard.

Devenez SQLien et faites partie de cette grande aventure au sein d’une société à taille humaine, mais avec de grandes ambitions. Nous sommes plus de 2200 talents sur plus de 13 pays et 3 continents.

Notre culture ? Oser et créer.

Description Du Poste

Au sein de l'équipe Data, vous êtes référent technique d’une équipe de développement qui réalise des solutions de gestion de la donnée..

ResponsabilitéS Principales:

En tant que pilier technique de l’équipe, vous prenez en charge des responsabilités clés qui garantissent la qualité, la collaboration et l’innovation au sein du pôle DATA :

Vous êtes responsable de la qualité du code produit et du respect des normes et des outils du domaine DATA et de la DSI.
Vous êtes responsable de mettre en place les pratiques qui favorisent la collaboration, la propriété collective du code et la montée en compétence technique au sein de l’équipe.
Vous favorisez les interactions de l’équipe avec l’ensemble de la DSI (particulièrement les OPS).
Vous êtes chargé également de réaliser, de créer et faire évoluer nos solutions logicielles permettant de répondre aux besoins demandés par nos métiers en terme d'analyses DATA, explorations DATA, ou d'accès aux données via API.

ActivitéS :

Vous intervenez au quotidien sur un ensemble d’activités variées qui couvrent le support technique, la coordination, le développement et la documentation :

Vous facilitez la résolution des problématiques techniques.
Vous garantissez la qualité et la cohérence du code.
Vous assurez la capitalisation.
Vous animez la montée en compétence technique de l'équipe.
Vous coordonnez les développeurs en cohérence avec les contraintes de planning, de budget et de CAF.
Vous êtes le relais de l'équipe d'architecture et de sécurité au sein du pôle.
Vous concevez les solutions.
Vous développez les nouvelles fonctionnalités demandées (développement spécifique ou ETL).
Vous documentez les réalisations effectuées (spécifications fonctionnelles et techniques détaillées, manuels d'exploitation, etc).
Vous suivez le développement et apportez du support aux autres développeurs.
Vous réalisez les revues de codes ou réalisations livrés.
Vous accompagnez le métier dans l'appropriation des solutions mises en place.
Vous assurez le support niveau 3 (incidents fonctionnels et anomalies de production).

Qualifications

Titulaire d’un Bac+5 en Informatique ou dans un domaine équivalent.
Justifie d’au moins 6 ans d’expérience réussie dans un poste comparable.
Solide expertise en bases de données : Teradata, BigQuery, Hive, Impala.
Maîtrise avancée des technologies Big Data : Hadoop, SparkSQL.
Bonne expérience des solutions de streaming : RabbitMQ, Kafka, PubSub, Kubera.
Compétences confirmées en ETL, avec maîtrise des frameworks spécifiques et d’Informatica.
Excellente maîtrise de Linux et scripting Shell.
Maîtrise complète des outils DevOps, notamment Git et outils de déploiement spécifiques.
Connaissance des outils de DataViz comme Tableau et Dataiku.

Informations SuppléMentaires

Pourquoi rejoindre notre équipe ?

Un environnement dynamique et innovant, au sein d’une équipe passionnée par les technologies de données.
La possibilité de travailler sur des projets d’envergure, à la pointe des technologies cloud et Big Data.
Des opportunités d’évolution et de formation continue pour développer vos compétences.
Un cadre de travail flexible (mode Hybride) et des avantages attractifs.

","hiringOrganization":{"@type":"Organization","name":"SQLI","sameAs":"https://www.sqli.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Rabat, Rabat-Salé-Kénitra, Morocco","addressCountry":"Morocco","addressRegion":"Africa"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

DriveWealth is a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices.

Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.

We seek enthusiastic professionals to contribute diverse perspectives and experiences to our Brokerage-as-a-Service platform. Our culture blends the pace and opportunity of a tech start-up with the impact, stability, and significance of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. We value diversity and inclusion, celebrating the unique differences of our employees as we scale and grow together. We’re guided by operating principles grounded in accountability, teamwork, integrity, and solutions built to scale. Join us!

About The Role:

We are looking for a Senior Data Engineer who thrives on solving complex data problems, and enjoys working cross-functionally with product, engineering and analytics teams to deliver trusted, high-impact data solutions. The ideal candidate is excited to take ownership of complex data challenges and help evolve our data platform to the next stage of scale and maturity.

The Data & Analytics organization at DriveWealth powers the company’s data ecosystem end-to-end. Within it, the Data Platform Engineering team owns two critical pillars:

Data Ingestion - building reliable pipelines that bring data from diverse internal and external sources
Semantic Data Layer - creating curated, consistent and reliable datasets that enable analytics, reporting and decision making

What You’Ll Do:

Design, build and maintain robust data pipelines (batch, streaming and replication) that power analytics, reporting and compliance use-cases
Translate business needs into data solutions partnering with product managers, engineering teams and business stakeholders
Proactively identify challenges and opportunities, anticipate scaling, performance and quality needs before they become blockers
Establish and champion best practices, including documentation, code reviews and standards for data modelling, orchestration and tooling
Mentor and support other engineers, raising the bar for data engineering craft and helping grow team capabilities
Contribute to self-service data products, enabling data consumers with curated datasets, semantic layers and tools that accelerate insight generation

What You’Ll Need:

5+ years of professional experience in data engineering or related fields, with a track record of building and scaling data pipelines and platforms
Technical Skills:

Strong proficiency in Python and SQL
Hands-on experience with Spark (PySpark and SparkSQL) and distributed data processing
Expertise with orchestration and transformation tools (e.g. Airflow, DBT)
Proficiency with Databricks and cloud platforms (AWS preferred)
Familiarity with infrastructure as code (e.g.Terraform or equivalent)
Fluent in shell scripting and command line tooling (e.g. Databricks CLI)

Proven ability to work independently and cross-functionally with product, engineering and business teams
Experience working in teams with CI/CD pipelines, Git-based workflows and Agile methodologies
Curiosity, accountability and a drive to improve data quality, scalability and usability across the company
BS in Computer Science or equivalent

Nice To Have, But Not Required:

Fintech or capital market experience
Familiarity with regulatory and compliance-driven reporting (e.g. FINRA, GDPR)
Experience mentoring or coaching other engineers

Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor or take over sponsorship of an employment Visa at this time.

Compensation
Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.
Please note: this role is expected to come into our office on a cadence set by the Hiring Manager/Team.

New York, NY (Hybrid) Pay Range$150,000—$180,000 USD

Benefits

Competitive medical, dental, and vision insurance options
Mental health resources
Generous paid time off with observed holidays (varies per country)
Paid parental leave for biological and adoptive parents
Up to $2,500 or local equivalent each year to invest in continued education and personal development
Up to $900 each year or local equivalent for fitness and wellness reimbursement
Company-provided phone (varies by country)
For HQ in-office employees, a daily lunch stipend, unlimited snacks, and engaging office space in the Financial District
Pre-tax commuter benefits (US only)
Employer 401K match (US only)

Benefit offerings vary based on country and are subject to change.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

TO ALL AGENCIES: Please, no phone calls or emails to any employee of DriveWealth outside of the Talent organization. DriveWealth’s policy is to only accept resumes from agencies via Greenhouse (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of DriveWealth. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.

","hiringOrganization":{"@type":"Organization","name":"DriveWealth","sameAs":"https://www.drivewealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

Who We Are

CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country.

\n\n

We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few.

\n\n

Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low.

Join us on our journey… Let’s create something awesome, together, today.

\n\n

About The Role And Team:

\n\n

We’re looking for a Data Engineer to join our growing Data Practice. You’ll work as part of a multidisciplinary team delivering data solutions for some of the UK’s best-known brands. You’ll have a hand in everything from data ingestion and transformation to pipeline automation and data platform optimisation – always with a strong focus on quality, scalability, and value.

\n\n

What You'Ll Be Doing:

Designing, building and maintaining robust, cloud-native data pipelines
Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow
Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake
Implementing Lakehouse architectures using tools like Databricks or Snowflake
Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions

\n\n

We'd love to talk to you if:

You’ve got solid experience working with Python, SQL, Spar and data pipeline tools such as dbt or Airflow
You’re comfortable working across cloud platforms – especially AWS (Glue, Lambda, Athena), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery, Cloud Composer)
You have a good understanding of data modelling, data warehousing and performance optimisation
You care deeply about data quality, testing, and documentation
You enjoy solving real-world problems and collaborating with cross-functional teams
You’re comfortable in a consultancy setting, balancing hands-on delivery with client engagement

\n\n

What We'Ll Offer You:

At CreateFuture, we challenge ourselves to go beyond the obvious and we care deeply about our craft and customers. With us, you’ll have ambitious projects to sink your teeth into and plenty of opportunities to learn and grow. You’ll be part of our safe, supportive and friendly culture - that looks after you - and join our team of genuinely great people.

\n\n

Our Benefits Include:

Total 35 days holiday (we have flexible bank holidays)
Comprehensive private medical insurance
Enhanced parental and adoption leave
Pension - matched up to 5%

View our complete list of benefits here.

As this is a hybrid role, we’re looking for people within a commuting distance of our hub locations (Edinburgh/Leeds/Manchester/London) and who are flexible to travel to client sites and CreateFuture regional offices. We are very flexible and trust you to manage your own schedule to balance face-to-face time with clients, colleagues and working from home.

We create and reinforce a culture that rewards employees’ impact, not just activity. We trust our employees to work autonomously and promote ownership across all levels.

\n\n

Next Steps:

Our Talent team aims to respond to all applications within a reasonable timeframe, regardless of whether or not we progress your application.

Our Interview Process:

30-minute call with one of our Talent Acquisition Team.
1-hour competency-based interview
Take Home Task & Review
60-minute values-led interview.

\n\n

Our interview process is designed as an opportunity both for our interviewers to learn about your expertise, interests and motivations and for you to gain insights into the role, team and business as a whole, so throughout the process, you’ll meet a few people from our team as well as others from across the business to help you get a well-rounded view of the role and life at CreateFuture.

We believe that representative teams made up of people with different backgrounds, skills, and points of view help us build the best workplace possible, and enable us to create genuinely innovative, broadly useful products.

\n","hiringOrganization":{"@type":"Organization","name":"CreateFuture","sameAs":"https://hello.createfuture.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

As a Data Platform Engineer (Senior) with a focus on data engineering, you will design end-to-end architectures for data platforms. Instead of building individual ETL pipelines, you establish platforms on which teams can define their own pipelines. You focus on scalability, reliability and self-service and select suitable Azure tools.

Tasks & Responsibilities

You design end-to-end architectures, establish self-service platforms and implement governance and cost optimization standards. You select Azure technologies, conduct code reviews and coach the team. You will develop end-to-end data solutions on Azure - from source system connection to processing and provision of data for BI/AI applications. You will select and integrate the appropriate technologies and tools for our customers (e.g. streaming with Kafka/Event Hubs, storage in Azure Data Lake/Azure SQL, processing with Spark). Here you will implement our best practices for coding, testing and monitoring data pipelines to ensure reliability and scalability.

Establishes automated CI/CD workflows and monitors the operational processes (monitoring, alerting) of the platform.

You will work closely with customers and business stakeholders to gather requirements and translate them into technical solutions.

You are part of our pre-sales and consulting activities.

Requirements

5+ years of experience in data engineering / data platform development, including extensive practice on Microsoft Azure
Knowledge of data architectures, distributed data processing systems and cloud services (Azure Data Factory, MS Fabric, Databricks, Event Hubs etc.)
Experience in data security and governance - knows data protection requirements and implements access authorizations, encryption and compliance conformity
Soft skills: Leadership skills to technically lead a team, as well as clear communication skills with customers (including non-technical contacts).
Language skills: Very good knowledge of German and English.
Proven ability to achieve performance and cost optimization with large data volumes
Proficient in DevOps methods: continuous delivery of data pipelines, infrastructure-as-code (e.g. Terraform/Bicep) and containerized deployments.
Strategic thinking & consulting: Ability to translate business requirements into data architectures and advise clients.

","hiringOrganization":{"@type":"Organization","name":"paiqo GmbH","sameAs":"https://paiqo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote job"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"

As a Data Platform Engineer with a focus on data engineering, you will be responsible for building and operating modern data platforms. You will develop scalable data pipelines and ETL/ELT processes on Microsoft Azure to make large amounts of data from different sources usable

You develop stable batch and streaming pipelines with Azure Data Factory/Databricks on Microsoft Azure. Best practices such as Delta Lake, automated workflows and VNet-Securing ensure reliability. You will take responsibility for sub-projects in data integration, e.g. setting up a data path from operational systems in a data lakehouse. You will implement and optimize ETL/ELT routes (with Azure Data Factory, Databricks/Spark etc.) and ensure data quality. Use Azure data services for storage and processing (Data Lake, Azure SQL, Databricks, MS Fabric) efficiently. Participates in setting up CI/CD pipelines (Azure DevOps or GitHub) for automated deployments and collaborates closely with Data Scientists and Analytics teams to provide data for analytics and ML

Requirements

2-4 years of experience in data engineering or data platform development
Solid knowledge of SQL and programming (Python or Scala) as well as experience with Azure Data Services (e.g. Azure Data Factory, Azure Databricks, Synapse)
Familiarity with data modeling (e.g. Star Schema, Kimball) and data platform monitoring & performance optimization.
Experience in dealing with version management (Git) and DevOps practices (Continuous Integration, Infrastructure as Code).
Communication & Collaboration: Working with data scientists, analysts and clients and translating technical concepts for non-technical people
Problem solving & analytical thinking: You optimize data streams, identify bottlenecks and find creative solutions
Language skills: German fluent, English good.

","hiringOrganization":{"@type":"Organization","name":"paiqo GmbH","sameAs":"https://paiqo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote job"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Data Engineer Java Spark","datePosted":"2025-09-22","description":"

Description De L'Entreprise

Notre mission depuis 30 ans ? Être présent au bon moment !

Notre culture ? Oser et créer.

Description Du Poste

En tant qu'Ingénieur Data Java Spark, vous serez amené à :

- Participer au développement et à la mise en production de flux stream en Java ainsi qu’à des évolutions destinées aux équipes métiers, avec notamment :

Le développement de traitements batch en PySpark et stream en Java-Spark.
La réalisation de tests et la manipulation de données.
La mise en production des flux.
L’analyse et la correction de bugs.
Intervenir en support sur des incidents applicatifs concernant les flux Data gérés par l’équipe.
Gérer vos projets de bout en bout, depuis l’analyse des spécifications jusqu’à la livraison, tout en assurant les corrections nécessaires.
Réaliser des évolutions prioritaires sur les flux Data pour les métiers du Réseau, en :
Développant des traitements en Java Spark.
Respectant les jalons projets.
Livrant avec qualité et en réalisant les tests associés.
Optimisant les flux pour améliorer la consommation de ressources.
Portant un intérêt fort aux cas d’usage métier et à la compréhension des données.
Apportant du support aux utilisateurs.

Qualifications

Aayant un Bac+5 en Informatique ou domaine similaire.
Minimum 6 ans d’expérience dans un poste similaire.
Maîtrise avancée du langage Java, qui est le langage principal pour ce poste.
Bonne connaissance de Spark fortement souhaitée.
Connaissances en Python appréciées, notamment pour la rédaction de scripts.
Capacité à travailler de manière autonome sur ses projets tout en sachant collaborer efficacement avec ses collègues.
Excellentes compétences en communication orale et écrite, indispensables pour échanger au quotidien avec les équipes métiers.

Informations SuppléMentaires

Pourquoi rejoindre notre équipe ?

Un environnement dynamique et innovant, au sein d’une équipe passionnée par les technologies de données.
La possibilité de travailler sur des projets d’envergure, à la pointe des technologies cloud et Big Data.
Des opportunités d’évolution et de formation continue pour développer vos compétences.
Un cadre de travail flexible (mode Hybride) et des avantages attractifs.

","hiringOrganization":{"@type":"Organization","name":"SQLI","sameAs":"https://www.sqli.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Rabat, Rabat-Salé-Kénitra, Morocco","addressCountry":"Morocco","addressRegion":"Africa"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Data Engineer – Senior (REF4613Y)","datePosted":"2025-09-22","description":"

A CéG LeíRáSa

Ranked as Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Az áLláS LeíRáSa

Project

In your future project you will directly work with our customer from the energy solution industry, dedicated to decarbonization of major industries in global economy. Together with the T-Systems International Data Intelligence Business unit team members you will join to an international team supporting our customer. A key focus will be the development of the existing analytics environment of our customer to explore, develop and orchestrate analytics, including simple rule-based models and machine learning algorithms.

Daily Tasks

Developing and maintaining data-centric applications using Python.
Monitoring and optimizing system performance and health, with a strong focus on using Datadog.
Creating efficient internal processes and collaborating with internal stakeholders to achieve project goals.
Applying DevOps practices, Test-Driven Development (TDD), and Clean Code principles in daily work.
Solving problems and effectively managing challenges related to system operations.

KéPzettséG

Bachelor or master’s degree in the following areas: Computer science, Engineering or Information Technology or equivalent work experience in IT
Strong experience with Python
Strong experience with Datadog
Experience with Pandas (for times series)
Candidates need good English written and oral skills.
AWS (use storage efficiently, deploy to the cloud)

Nice-To-Have Skills

Experience with NoSQL and SQL databases
Experience with GitLab
Knowledge of DevOps practices
Experience with version control systems (e.g. git)
Experience with Jenkins
Experience with data pipelines
Experience with SageMaker Notebooks
Experience with data-driven development
Experience with ELK stack and Grafana

TováBbi InformáCióK

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

","hiringOrganization":{"@type":"Organization","name":"Deutsche Telekom IT Solutions","sameAs":"https://www.deutschetelekomitsolutions.hu"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Budapest, Debrecen, Pécs, Szeged, Hungary","addressCountry":"Hungary","addressRegion":"Europe"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Ingénieur en Données Géospatiales / Geospatial Data Engineer","datePosted":"2025-09-22","description":"

RéSumé

Nous développons un cadre d’autonomie complète qui permet aux drones de prendre des décisions de vol intelligentes à bord, sans intervention humaine. Notre plateforme combine une planification d’itinéraire tenant compte de la météo, un guidage en temps réel et une prise de décision embarquée afin de permettre aux opérateurs de déployer de véritables missions autonomes capables de s’adapter aux conditions changeantes en vol.

À propos du poste

Contribuez à bâtir l’infrastructure de données pour les opérations de drones autonomes. Vous travaillerez directement avec notre CTO afin de créer des systèmes de traitement géospatial permettant une prise de décision de vol intelligente.

ResponsabilitéS Principales :

Concevoir et développer des pipelines évolutifs de traitement de données géospatiales et des composants logiciels.
Développer des outils et algorithmes d’analyse SIG pour l’optimisation des itinéraires UAV.
Intégrer et traiter des ensembles de données géospatiales multi-sources (élévation, obstacles, espace aérien, météo).
Mettre en place des flux de travail automatisés pour l’ingestion et le traitement continus des données.
Créer des API et services pour l’analyse géospatiale en temps réel.

Qualifications :

IngéNierie GéOspatiale :

3+ années d’expérience dans le développement de composants logiciels SIG et de systèmes de traitement de données.
Maîtrise des outils et bibliothèques SIG de base (QGIS, GDAL/OGR).
Solide compréhension des systèmes de coordonnées, projections et structures de données spatiales.
Expérience avec les algorithmes géospatiaux (visibilité, analyse spatiale).

CompéTences Techniques :

Excellente maîtrise du développement en Python et de la pile scientifique (NumPy, Pandas, SciPy).
Expérience avec l’écosystème Python géospatial (GeoPandas, Rasterio, Xarray).
Connaissance du SQL et des bases de données géospatiales (ex. : PostgreSQL/PostGIS).
Aisance avec les infrastructures cloud (Google Cloud de préférence), les outils de conteneurisation (Docker) et le contrôle de version (Git).

Qualifications SouhaitéEs

Diplôme en SIG, informatique, ingénierie ou domaine connexe.
Connaissances en C/C++ pour le traitement géospatial critique en performance.
Expérience avec les formats de données météorologiques (NetCDF, GRIB) et les modèles météo.
Formation ou expérience en météorologie, sciences atmosphériques ou aviation.
Connaissances des concepts IA/ML appliqués aux données géospatiales (atout).

Vous avez une solide expertise en ingénierie des données géospatiales ? Nous voulons vous rencontrer ! Nous privilégions la capacité de résolution de problèmes et l’agilité d’apprentissage plutôt que la vérification de toutes les cases.

Note : Seules les personnes légalement autorisées à travailler au Canada seront considérées pour ce poste.

______________

Summary

We're building a full autonomy framework that enables drones to make intelligent flight decisions onboard, without human intervention. Our platform combines weather-aware route planning, real-time guidance, and onboard decision-making to allow operators to deploy truly autonomous missions that adapt to changing conditions in flight.

About The Role

Help us build the data backbone for autonomous drone operations. You'll work directly with our CTO to create geospatial processing systems that enable intelligent flight decision-making.

Key Responsibilities

Design and build scalable geospatial data processing pipelines and software components
Develop GIS analysis tools and algorithms for UAV route optimization
Integrate and process multi-source geospatial datasets (elevation, obstacles, airspace, weather)
Build automated workflows for continuous data ingestion and processing
Create APIs and services for real-time geospatial analysis

Required Qualifications

Geospatial Engineering:

3+ years building GIS software components and data processing systems
Proficiency with core GIS tools and libraries (QGIS, GDAL/OGR)
Strong understanding of coordinate systems, projections, and spatial data structures
Experience with geospatial algorithms (visibility, spatial analysis)

Technical Skills:

Strong Python development with scientific computing stack (NumPy, Pandas, SciPy)
Experience with geospatial Python ecosystem (GeoPandas, Rasterio, Xarray)
Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS)
Comfortable with cloud infrastructure (Google Cloud preferred), containerization tools (Docker), and version control (Git).

Preferred Qualifications

Degree in GIS, Computer Science, Engineering, or related field
C/C++ for performance-critical geospatial processing
Experience with meteorological data formats (NetCDF, GRIB) and weather models
Background in meteorology, atmospheric science, or aviation
Knowledge of AI/ML concepts applied to geospatial data is a plus.

Strong foundation in geospatial data engineering? We want to hear from you! We value problem-solving ability and learning agility over checking every box.

Note: Only candidates who are legally entitled to work in Canada will be considered for this position.

","hiringOrganization":{"@type":"Organization","name":"Shearwater Aerospace","sameAs":"https://www.shearwater.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montréal, Québec, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Senior Data Engineer F/H","datePosted":"2025-09-22","description":"

Company Description

PréSentation De L’Agence

Une agence multi spécialiste de plus de 40 collaborateurs qui forment des communautés d’experts sur le Cloud & DevOps, la data et la gestion de projet. Devoteam Lille accompagne ses clients dans une transformation digitale durable. À l’agence de Lille, les consultants peuvent intégrer nos clubs happiness Running, Gastronomy, Raquettes, Basket, Foot, ou encore gaming.

PréSentation Entité

Data Driven a pour ambition d’aider ses clients à transformer la valeur de leurs données en succès durable. Nous tirons parti à la fois de notre expertise sur les plateformes technologiques les plus innovantes et de notre connaissance métier avec la meilleure combinaison d’experts pour accompagner nos clients dans leur quête d’agilité, de compétitivité et de croissance durable.

Job Description

En tant que Data Engineer Senior, spécialisé(e) en Snowflake, vous serez au cœur des initiatives de transformation des données de nos clients à Lille. Vous apporterez votre expertise pour concevoir et déployer des solutions cloud-native hautement performantes. 🚀

La conception et l’implémentation d’architectures Data Lakehouse, en utilisant Snowflake comme plateforme principale pour la gestion et l’analyse des données. 🛠️
La création et l’optimisation de pipelines de données, en intégrant différentes sources hétérogènes tout en garantissant leur qualité et leur intégrité. 💻
La mise en œuvre des meilleures pratiques pour l’optimisation des performances Snowflake, notamment en termes de modélisation des données et de gestion des coûts. 🌐
L’élaboration de solutions d’intégration de données en temps réel avec des outils comme Kafka ou Talend, afin de répondre aux besoins des applications critiques. 📊
L’utilisation de DBT (Data Build Tool) pour la transformation des données et le développement de modèles analytiques, ou de Databricks pour gérer les charges de travail Big Data dans un environnement collaboratif. 🔧

Qualifications

Vous êtes titulaire d’un diplôme d’ingénieur ou d’un Master 2 en informatique et disposez d’au moins 5 ans d’expérience en tant que Data Engineer. 🎓
Vous possédez une expertise avancée en Snowflake, notamment en optimisation de requêtes SQL, gestion de charges de travail massives et automatisation des pipelines. 🤝
Vous maîtrisez les écosystèmes Big Data et Cloud (AWS, GCP ou Azure), ainsi que des technologies comme Python, Spark, Git, et des outils comme DBT ou Databricks. 💡
Vous avez une expérience confirmée dans des projets Agile/DevOps, avec une maîtrise des outils CI/CD et des environnements conteneurisés (Kubernetes, Docker). 🌍
Vous êtes à l’aise avec l’anglais professionnel, à l’oral comme à l’écrit. 🗣️
Une expérience avec des plateformes de visualisation (Tableau, Power BI) et des solutions ETL (Talend, Matillion) est un atout majeur. 🌟

Additional Information

Pourquoi Nous Rejoindre :

Nous sommes une AI-Driven Company, partenaire des plus grands partenaires technologiques (Google, AWS, Microsoft, ServiceNow,…) et composée d'un important collectif d'experts (50 tribus d'expertise).

Avec 75% de nos collaborateurs certifiés dont 100 % sur la GenAI, Devoteam s'impose comme une Learning Company, où l’apprentissage continu est au cœur de notre ADN.

","hiringOrganization":{"@type":"Organization","name":"Devoteam","sameAs":"https://www.devoteam.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lille, Hauts-de-France, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Zero Trust Data Engineer - Sr. (4616) (TS/SCI) (Ft. Belvoir, VA)","datePosted":"2025-09-22","description":"

SMX is seeking a Senior Zero Trust Data Engineer to join a team of highly driven, supportive, and skilled professionals engaged in supporting clients across INSCOM programs. For this role, SMX is seeking a skilled professional to develop and manage distributed, parallel data processing pipelines that support Zero Trust (ZT) principles. This role involves end-to-end responsibility for critical data workflows, including establishing data connections, parsing and normalizing data, mapping and modeling structures, enriching datasets, and integrating with advanced data analytics platforms. The ideal candidate will have a strong background in scalable data engineering and a keen understanding of secure, reliable information handling in complex environments.

This is a full-time onsite position in Ft. Belvoir, VA.

Essential Duties & Responsibilities

Develop and manage distributed parallel data processing pipelines, which include but is not limited to processes such as establishing data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics, supporting ZT principles.
Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform. Handle all stages, including data connections, parsing, normalization, mapping, modeling, enrichment, and integration with analytics platforms.
Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements.
Communicate clearly and effectively with teammates, customers, and external partners.
Prepare written and verbal communications on analyses, findings, and project progress.
Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material.
Collaborate with functional area Data Stewards and other ZT Pillars to explore data flow mapping tools.
Identify automated data tagging/labeling solutions and assist with market research to evaluate their capabilities, scalability, and alignment with organizational requirements.
Coordinate with Data Governance CME and Automation Pillar Lead, test integration of data and attribute-based access into Policy Decision Points (PDP) and Policy Enforcement Points (PEP).

Required Skills, Experience & Education

Active Top Secret (TS) security clearance with eligibility for SCI and NATO read-on before starting work.
Security+ certification
Master’s degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 8 years’ experience as a data engineer OR a bachelor’s degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 10 years’ experience as a data engineer.
8+ years’ experience in cybersecurity, systems engineering, or information technology, with significant project delivery for large, complex organizations.
8 years’ experience with distributed parallel streaming and batch data processing pipelines.
8 years’ experience with Python, Java, or other programming languages.
8 years’ experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC).
8 years’ experience with developing, operating, and maintaining data processing pipelines in a classified environment.
8 years’ experience integrating with data SDKs / APIs and data analytics SDKs / APIs.
8 years’ experience with data mapping, modeling, enriching, and correlating classified data.
8 years’ experience with the identification and duplication of data sources and record types to meet military requirements.
8 years’ experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab.
Meet all requirements to receive a privileged user (PU) account on a government information system prior to starting work. The requirements are currently defined in DoDD 8140.01.

Desired Skills/Experience

Experience integrating with Army Intel information systems and record types
Certified Information Systems Security Professional (CISSP)
Certified Information Security Manager (CISM)
Certified Data Management Professional (CDMP)
AWS Certified Security – Specialty or equivalent cloud certifications

\n\n

Application Deadline: October 20, 2025

#Cjpost

#Li-Onsite

\n\n\n

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

The proposed salary for this position is:$138,800—$231,400 USD\n

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

\n\n

Selected applicant may be subject to a background investigation and/or education verification.

","hiringOrganization":{"@type":"Organization","name":"SMX","sameAs":"https://www.smxtech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Belvoir, VA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"

Data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They support functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

\n\n

Job Responsibilities

\n\n

You will collaborate with team members to design intricate data processing pipelines, addressing clients' most challenging problems.
You will collaborate with data scientists to design scalable implementations of their models.
You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
You will apply different standard models for big data and create data models for at least one type of modeling technique.
You will incorporate data quality into your day-to-day work.

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

You have hands-on experience of data modeling and modern data engineering tools and platforms.
You have experience in writing clean, high-quality code using the preferred programming language.
You have hands-on experience with Python, Spark si Snowflake.
You have awareness in building data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
You have knowledge of data visualization techniques and can communicate the insights as per the audience.
You are aware of data governance, security and privacy strategy to solve business problems.
You have experience with different types of databases (i.e.: SQL, NoSQL, etc.).

\n\n

Professional Skills

\n\n

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

\n\n\n

Other Things To Know

\n\n

Learning & Development

\n\n

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

\n\n\n

About Thoughtworks

\n\n

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

\n\n

#Li-Onsite

See here our AI policy.

\n\n

Job Responsibilities

\n\n

You will collaborate with team members to design intricate data processing pipelines, addressing clients' most challenging problems.
You will collaborate with data scientists to design scalable implementations of their models.
You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
You will apply different standard models for big data and create data models for at least one type of modeling technique.
You will incorporate data quality into your day-to-day work.

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

You have hands-on experience of data modeling and modern data engineering tools and platforms.
You have experience in writing clean, high-quality code using the preferred programming language.
You have hands-on experience with Python, Spark si Snowflake.
You have awareness in building data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
You have knowledge of data visualization techniques and can communicate the insights as per the audience.
You are aware of data governance, security and privacy strategy to solve business problems.
You have experience with different types of databases (i.e.: SQL, NoSQL, etc.).

\n\n

Professional Skills

\n\n

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

\n\n\n

Other Things To Know

\n\n

Learning & Development

\n\n

\n\n\n

About Thoughtworks

\n\n

#Li-Onsite

See here our AI policy.

","hiringOrganization":{"@type":"Organization","name":"Thoughtworks","sameAs":"https://www.thoughtworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madrid","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Data Engineer (Senior) ID40199","datePosted":"2025-09-22","description":"AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

- Design, build, and maintain large-scale data pipelines and data processing systems in AWS;
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies;
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions;
- Implement best practices for data governance, security, and compliance;
- Monitor, troubleshoot, and improve the performance of data systems and pipelines;
- Mentor junior engineers and contribute to building a culture of technical excellence;
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent problem-solving skills and ability to work in fast-paced environments;
- Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time),
- Upper-Intermediate English level.

NICE TO HAVES

- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink);
- Knowledge of containerization and orchestration (Docker, Kubernetes);
- Familiarity with data governance, lineage, and catalog tools;
- Previous leadership or mentoring experience.

PERKS AND BENEFITS

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://agileengine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Málaga, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Data Engineer (Senior) ID40199","datePosted":"2025-09-22","description":"AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

- Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
- Implement best practices for data governance, security, and compliance.
- Monitor, troubleshoot, and improve the performance of data systems and pipelines.
- Mentor junior engineers and contribute to building a culture of technical excellence.
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent problem-solving skills and ability to work in fast-paced environments;
- Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time),
- Upper-Intermediate English level.

NICE TO HAVES

- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with data governance, lineage, and catalog tools.
- Previous leadership or mentoring experience.

PERKS AND BENEFITS

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://agileengine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ribeirão Preto, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Data Engineer (Senior) ID40199","datePosted":"2025-09-22","description":"AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

- Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
- Implement best practices for data governance, security, and compliance.
- Monitor, troubleshoot, and improve the performance of data systems and pipelines.
- Mentor junior engineers and contribute to building a culture of technical excellence.
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent problem-solving skills and ability to work in fast-paced environments;
- Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time),
- Upper-Intermediate English level.

NICE TO HAVES

- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with data governance, lineage, and catalog tools.
- Previous leadership or mentoring experience.

PERKS AND BENEFITS

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://agileengine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São José dos Campos, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Data Engineer (Senior) ID40199","datePosted":"2025-09-22","description":"AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

- Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
- Implement best practices for data governance, security, and compliance.
- Monitor, troubleshoot, and improve the performance of data systems and pipelines.
- Mentor junior engineers and contribute to building a culture of technical excellence.
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent problem-solving skills and ability to work in fast-paced environments;
- Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time),
- Upper-Intermediate English level.

NICE TO HAVES

- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with data governance, lineage, and catalog tools.
- Previous leadership or mentoring experience.

PERKS AND BENEFITS

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://agileengine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fortaleza, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior/Lead Data Engineer","datePosted":"2025-09-22","description":"

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’Ll Do

Leadership & Capability Contribution

Contribute to the execution of the Data Engineering strategy and operating model, supporting client delivery, innovation, and engineering best practices
Lead and mentor a small, high-performing team of Data Engineers, DevOps Engineers, and Cloud Engineers (team size: ~3–8) within projects or a functional group
Foster a culture of technical excellence, collaboration, and continuous improvement within engineering teams

Technical Strategy, Architecture & Delivery

Lead the hands-on design and delivery of enterprise-scale, cloud-native data engineering solutions across:\n\n
Advocate for and implement modern data engineering patterns such as Data Mesh principles, DataOps, Event-Driven Architectures, and Serverless Pipelines
Collaborate closely with Architects, Data Governance, AI/ML, and Consulting teams to ensure solutions are aligned with security, performance, and business goals
Data Ingestion (batch, streaming, real-time)
Data Transformation (ETL/ELT, orchestration, compute frameworks)
Data Storage (Data Lakes, Lakehouse, Warehouses, NoSQL)
Data Consumption (APIs, BI tools, AI/ML platforms)

Engineering Standards, Tools & Automation

Drive the adoption of engineering best practices in coding, DevOps, CI/CD, and DataOps across project teams
Support the evaluation and application of modern tools and frameworks, including:\n\n
Champion the use of automation, monitoring, and testing frameworks to improve reliability and performance of data pipelines
Apache Spark, Databricks, Snowflake, BigQuery, Synapse, dbt, Kafka, Airflow, Fivetran, Informatica, Matillion
Cloud platforms (Azure, AWS, GCP) and Infrastructure as Code (Terraform, Pulumi)

Client Delivery & Project Leadership

Lead complex data engineering delivery within client engagements, ensuring technical excellence, scalability, and value realization
Contribute to the development of reusable assets and accelerators that enhance delivery efficiency and technical consistency
Support pre-sales and client discussions with technical expertise, helping shape solution designs and articulate value to stakeholders

What You Bring

8+ years of experience in Data Engineering, Big Data, or Cloud Data delivery, with 2–4+ years in technical leadership or team lead roles
Proven track record in:\n\n
Strong technical skills in:\n\n
Good understanding of:\n\n
Experience collaborating with architects, data scientists, and product owners to deliver end-to-end solutions
Delivering enterprise-scale data platforms, pipelines, and transformations
Leading small teams or squads within consulting or enterprise project settings
Data ingestion frameworks (e.g., Kafka, Event Hubs, Pub/Sub)
ETL/ELT tools (e.g., dbt, Spark, ADF, Glue)
Data storage platforms (e.g., Delta Lake, Snowflake, BigQuery, Synapse)Programming: Python, SQL, and optionally Scala or Java
Data modelling (dimensional, logical, physical)
Integration patterns (e.g., S2T mapping, batch, near real-time)
DevOps and CI/CD practices for data pipelines

Key Personal Attributes

Hands-on technical leader with a focus on delivery excellence
Passionate about engineering innovation and scalable solution design
Strong communicator and collaborator, able to engage both technical teams and business stakeholders
Committed to mentoring peers, sharing knowledge, and continuously improving delivery capability

English Level

Upper-Intermediate

Legal & Hiring Information

Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits At Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

","hiringOrganization":{"@type":"Organization","name":"Exadel","sameAs":"https://exadel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bulgaria, Georgia, Hungary, Lithuania, Poland, Romania","addressCountry":"Bulgaria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Senior/Lead Data Engineer","datePosted":"2025-09-22","description":"\n

Why Join Exadel

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’Ll Do

Leadership & Capability Contribution

Contribute to the execution of the Data Engineering strategy and operating model, supporting client delivery, innovation, and engineering best practices
Lead and mentor a small, high-performing team of Data Engineers, DevOps Engineers, and Cloud Engineers (team size: ~3–8) within projects or a functional group
Foster a culture of technical excellence, collaboration, and continuous improvement within engineering teams

Technical Strategy, Architecture & Delivery

Lead the hands-on design and delivery of enterprise-scale, cloud-native data engineering solutions across:\n\n
Advocate for and implement modern data engineering patterns such as Data Mesh principles, DataOps, Event-Driven Architectures, and Serverless Pipelines
Collaborate closely with Architects, Data Governance, AI/ML, and Consulting teams to ensure solutions are aligned with security, performance, and business goals
Data Ingestion (batch, streaming, real-time)
Data Transformation (ETL/ELT, orchestration, compute frameworks)
Data Storage (Data Lakes, Lakehouse, Warehouses, NoSQL)
Data Consumption (APIs, BI tools, AI/ML platforms)

Engineering Standards, Tools & Automation

Drive the adoption of engineering best practices in coding, DevOps, CI/CD, and DataOps across project teams
Support the evaluation and application of modern tools and frameworks, including:\n\n
Champion the use of automation, monitoring, and testing frameworks to improve reliability and performance of data pipelines
Apache Spark, Databricks, Snowflake, BigQuery, Synapse, dbt, Kafka, Airflow, Fivetran, Informatica, Matillion
Cloud platforms (Azure, AWS, GCP) and Infrastructure as Code (Terraform, Pulumi)

Client Delivery & Project Leadership

Lead complex data engineering delivery within client engagements, ensuring technical excellence, scalability, and value realization
Contribute to the development of reusable assets and accelerators that enhance delivery efficiency and technical consistency
Support pre-sales and client discussions with technical expertise, helping shape solution designs and articulate value to stakeholders

What You Bring

8+ years of experience in Data Engineering, Big Data, or Cloud Data delivery, with 2–4+ years in technical leadership or team lead roles
Proven track record in:\n\n
Strong technical skills in:\n\n
Good understanding of:\n\n
Experience collaborating with architects, data scientists, and product owners to deliver end-to-end solutions
Delivering enterprise-scale data platforms, pipelines, and transformations
Leading small teams or squads within consulting or enterprise project settings
Data ingestion frameworks (e.g., Kafka, Event Hubs, Pub/Sub)
ETL/ELT tools (e.g., dbt, Spark, ADF, Glue)
Data storage platforms (e.g., Delta Lake, Snowflake, BigQuery, Synapse)Programming: Python, SQL, and optionally Scala or Java
Data modelling (dimensional, logical, physical)
Integration patterns (e.g., S2T mapping, batch, near real-time)
DevOps and CI/CD practices for data pipelines

Key Personal Attributes

Hands-on technical leader with a focus on delivery excellence
Passionate about engineering innovation and scalable solution design
Strong communicator and collaborator, able to engage both technical teams and business stakeholders
Committed to mentoring peers, sharing knowledge, and continuously improving delivery capability

English Level

Upper-Intermediate

Legal & Hiring Information

Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits At Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision

Exadel Culture

","hiringOrganization":{"@type":"Organization","name":"Exadel","sameAs":"https://exadel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bulgaria, Georgia, Hungary, Lithuania, Poland, Romania","addressCountry":"Bulgaria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"(1231) Senior Data Engineer","datePosted":"2025-09-22","description":"

Explore the Nearsure experience!

🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.

🍃 Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values.

⚖️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.

Ready to grow with us? 🚀

Here’s what we offer you by joining us!

✨ Competitive USD salary 💲 – We value your skills and contributions!

🌐 100% remote work 🏢 – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!

💼 Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!

🎉 National Holidays celebrated 🌴 – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.

😷 Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.

💸 Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance!

🤝 Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community.

🥳 Birthday day off 🎂 – Enjoy an extra day off during your birthday week to celebrate in style with friends and family!

About the project

As a Senior Data Engineer, you will be a strategic professional shaping the foundation of our data platform. You will design and evolve scalable infrastructure, enable data governance at scale, and ensure our data assets are clean, reliable, and accessible.

You will be a go-to expert, mentoring other engineers and influencing architectural decisions across the company.

How your day-to-day work will look like

✅ Architect and evolve scalable infrastructure to ingest, process, and serve large volumes of data efficiently.
✅ Lead improvements to existing frameworks and pipelines to ensure performance, reliability, and cost-efficiency.
✅ Establish and maintain robust data governance practices that empower cross-functional teams to access and trust data.
✅ Transform raw datasets into clean, usable formats for analytics, modeling, and reporting.
✅ Investigate and resolve complex data issues, ensuring data accuracy and system resilience.
✅ Maintain high standards for code quality, testing, and documentation, with a strong focus on reproducibility and observability.
✅ Stay current with industry trends and emerging technologies to continuously raise the bar on our engineering practices.

This would make you the ideal candidate

✨ Bachelor's Degree in Computer Science, Engineering, or a related field.
✨ 5+ Years of experience working with data engineering experience designing, building, and operating scalable data ingestion, processing, and serving layers in production.
✨ 5+ Years of experience working with SQL for analytics, transformations, and performance optimization (windowing, partitioning, query tuning).
✨ 5+ Years of experience working with Python for data manipulation, pipeline development, packaging, and integration (e.g., PySpark, pandas).
✨ 5+ Years of experience working with data modeling for Data Warehouses/Lakehouse (dimensional, wide tables, partitioning, Z-ordering, schema evolution) and building efficient ELT/ETL pipelines.
✨ 3+ Years of experience working with distributed data processing (Apache Spark) for batch and/or streaming at scale.
✨ 3+ Years of experience working with cloud platforms (AWS and/or GCP) for data engineering workloads (storage, compute, IAM, networking, cost controls).
✨ 2+ Years of experience working with implementing data governance at scale (policies, lineage, quality checks, access controls) across multiple domains/teams.
✨ 2+ Years of experience working with improving existing data frameworks/pipelines for performance, reliability, and cost efficiency (profiling, caching, partitioning, autoscaling).
✨ 1+ Years of experience working with automated testing and CI/CD for data pipelines (unit/integration tests, data quality tests, environment promotion) and observability (logging/metrics/tracing).
✨ Expert-level SQL (query design, performance tuning, troubleshooting execution plans).
✨ Experience with API-based integrations (JDBC/ODBC, REST, SOAP) and data ingestion patterns.
✨ Intermediate shell scripting (Bash and/or PowerShell).
✨ Logging, auditing, and tracing for data platforms; strong observability mindset.
✨ Data security and privacy (PII handling, encryption, tokenization, IAM, least privilege).
✨ Automation of data pipelines and environments (schedulers, CI/CD, packaging, reproducibility).
✨ Hands-on with diverse data types and formats (structured, semi-structured, unstructured; JSON, Avro, ORC, Parquet; columnar vs. row).
✨ Proficiency with Git-based workflows (branching strategies, code reviews, PRs).
✨ Understanding of modern data architectures: Data Lake, Data Warehouse, Lakehouse, Data Mesh, Data Fabric, Delta/transactional lakes.
✨ Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

What to expect from our hiring process

1️. Let’s chat about your experience!
2. Impress our recruiters, and you’ll move on to a technical interview with our top developers.
3. Nail that, and you’ll meet our client - your final step to joining our amazing team!

🎯 At Nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team!

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.

Let’s work together to shape the future of technology!

🧑‍💻 Apply Now!

By applying to this position, you authorize Nearsure to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.

","hiringOrganization":{"@type":"Organization","name":"Nearsure","sameAs":"https://www.nearsure.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Latin America - Remote"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Data Engineer - Distribution Factory","datePosted":"2025-09-22","description":"

We are looking for data engineers who will play an essential role in developing and maintaining our data pipelines and workflows. Working under the guidance of senior engineers and the Data Distribution Team Lead, you will help ensure our data solutions are robust, scalable, and meet our clients' needs. This role offers an excellent opportunity to build on your existing skills and grow within a supportive and innovative environment. Your contributions will help us deliver high-quality data solutions that drive better healthcare outcomes.

You Will:

Develop Data Pipelines: Collaborate with the Data Distribution Team to design, develop, and maintain data pipelines and ETL processes using Databricks, Snowflake, SQL, and PySpark.
Optimize Data Assets: Assist in creating and optimizing data assets to ensure data quality, performance, and reliability.
Monitor and Troubleshoot: Support the monitoring and troubleshooting of data pipelines to ensure smooth and efficient data distribution.
Collaborate with Teams: Work with the Data Distribution Team and cross-functional teams to understand client data requirements and translate them into scalable data solutions.
Leverage Agile Methodologies: Utilize Agile methodologies and best practices to deliver incremental improvements and respond to changing requirements.
Communicate Effectively: Maintain clear communication with stakeholders to gather and clarify requirements and provide regular project updates.
Ensure Data Privacy and Compliance: Uphold a strong commitment to data privacy, security, and regulatory compliance, considering the sensitive nature of healthcare data.

What We'Re Looking For:

Educational Background: Bachelor’s degree in computer science or a related field.
Relevant Experience: Minimum of 2 years of experience in data engineering, software engineering, or a related role.
Technical Proficiency: Experience with Databricks, Snowflake, SQL, and PySpark.
Healthcare Data Knowledge: Basic understanding of US healthcare data and terminology is a plus.
Problem-Solving Skills: Ability to work on data engineering projects and solve problems efficiently.
Big Data and Cloud Technologies: Familiarity with big data technologies, data processing frameworks, and cloud-native architecture.
Agile Methodologies: Experience with Agile methodologies and project delivery.
Communication and Collaboration: Strong communication skills with the ability to collaborate effectively with team members and stakeholders.

Bonus Points:

Advanced Certifications: Relevant certifications in data engineering, cloud computing, or specific technologies such as Databricks, Snowflake, or AWS.

","hiringOrganization":{"@type":"Organization","name":"TechKraft Inc.","sameAs":"https://techkraftinc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lalitpur, Nepal","addressCountry":"Nepal","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Cloud Data Engineer","datePosted":"2025-09-22","description":"

This is a remote position.

\n\nSchedule:
\n\n

Mondays to Fridays, 9:00 am to 6:00 pm, Montreal, QC, Canada (Eastern time), with an hour unpaid break

\n\n
\n\n\nResponsibilities:
\n\n\n
\n\n

Data Engineering & Development

Design, develop, and maintain ETL/ELT pipelines across AWS, Azure, and Google Cloud.
Build and optimize data lakes and data warehouses using Databricks and Snowflake.
Develop reusable, scalable, and reliable data processing solutions.

\n\n
\n\n

Cloud Platform Work

Implement and support cloud-native data solutions on AWS (Redshift, Glue, S3, Lambda), Azure (Data Factory, Synapse, Fabric), and Google Cloud (BigQuery, Dataflow, GCS).
Ensure cloud deployments follow best practices for performance, security, and cost efficiency.

\n\n
\n\n

Analytics & BI

Collaborate with BI developers and business teams to deliver Power BI dashboards and self-service analytics.
Support data modeling and semantic layers to enable business insights.

\n\n
\n\n

Collaboration & Delivery

Work with project managers, architects, and client stakeholders to translate business requirements into technical solutions.
Participate in agile development cycles, version control, and CI/CD processes.
Document processes, standards, and technical decisions.

\n\n
\n

Requirements

\n\nRequired Skills & Experience:
\n\n

3–6 years of professional experience as a Data Engineer / Developer.
Strong programming skills in Python and SQL (performance tuning, stored procedures, query optimization).
Hands-on experience with Databricks (PySpark, Delta Lake, MLflow) and/or Snowflake (warehouses, streams/tasks, Snowpipe).
Cloud experience with at least one major provider (AWS, Azure, or GCP) and familiarity with cross-cloud concepts.
Experience designing and building ETL/ELT pipelines and managing structured/unstructured datasets.
Good knowledge of data modeling, warehouse design, and performance optimization.
Practical experience with Power BI or other BI tools.

\n\n
\n\n\n
\n\n\nNice-to-Have Skills:
\n\n

Front-end development (React, Angular, or Vue) and back-end development (Node.js, Django, or similar).
Shopify development experience (custom apps, theme modifications, API integrations).
Odoo ERP experience (customization, integration, module development) or willingness to learn Odoo.
Knowledge of DevOps practices: Git, CI/CD, Terraform, or similar.
Familiarity with modern data architectures (Data Mesh, Lakehouse, Fabric).
Exposure to big data tools: Kafka, Airflow, or dbt.
Strong problem-solving and communication skills.

\n\n
\n

Benefits

Independent Contractor Perks:

\n\n
\n\n

HMO coverage for eligible locations
Permanent work from home
Immediate hiring
Steady freelance job

\n\n
\n

Please note that since this is a permanent work-from-home position and an “Independent Contractor” arrangement, the candidates must have their own computer and internet connection. They will handle their benefits and taxes. The professional fees are at hourly rates, and the rate depends on your performance in the application process.

\n\n
\n\n\n
\n\n\nZR_27749_JOB
\n
","hiringOrganization":{"@type":"Organization","name":"BruntWork","sameAs":"https://www.bruntworkcareers.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 600 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

The Cargo Models team is responsible for building highly accurate cargo tracking models to provide live trade insights for the global maritime transport industry. Using a range of advanced Operations Research and Data Science techniques, we process and transform live data and integrate it into several core data pipelines. Our team directly manages and ensures the quality of the data provided to clients, making us one of the key parts of Kpler.\n

Responsibilities:

Working alongside data engineers, data scientists and product managers, take responsibility for the development and implementation of our core algorithms and back-end data pipelines, based on project requirements and design specifications.
Help clients and internal users benefit from the highest cargo tracking data quality by adding new features and reviewing pipelines and integrations with our datastores.
Help to optimise system performance, maintain features, troubleshoot issues, and ensure high availability.
Demonstrate strong analytical and debugging skills with a proactive approach to learning.

Skills And Experience:

Have hands-on experience with Python. Experience with Flask or SQLALchemy is a plus.
Solid SQL skills for querying and managing relational databases.
Knowledge of streaming and big data technologies (such as Kafka or Spark).
Comfortable working with Git, code reviews, and Agile methodologies.
Have an understanding of containerisation and orchestration tools (e.g., Docker, Kubernetes).
Are eager to learn new languages and technologies.

Nice To Have:

Have worked with AWS (or another cloud provider), using Terraform.
Have experience with Scala or other JVM Languages.
Exposure to Elasticsearch.

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?
We make things happenWe act decisively and with purpose, going the extra mile.
We build togetherWe foster relationships and develop creative solutions to address market challenges.
We are here to helpWe are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge
Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

By applying, I confirm that I have read and accept the Staff Privacy Notice","hiringOrganization":{"@type":"Organization","name":"Kpler","sameAs":"https://www.kpler.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"As a data engineer you will join one of our Data Science Teams, and distributed between Paris, Barcelona and Brussels. The team’s responsibility lies in providing forecasts to operational and business entities within Veepee, driving high-priority projects around product pricing, product ranking, warehouse efficiency and search. Your mission will be to support the team in building data pipelines, deploying machine learning models on a mixed cloud/on-premise architecture, leveraging LLMs, and developing microservices to expose ML-based predictions to customer-facing products.\n

Responsibilities:

Develop, deploy and maintain high-load API’s on Kubernetes with strong SLA requirements and high business value
Version, deploy and monitor machine learning models at scale
In the context of machine learning projects, develop and maintain data pipelines and ensure data quality
Identify, design, and implement internal process improvements: automating manual processes, optimizing code and data delivery, re-designing infrastructure for greater scalability etc
Keep improving your technical knowledge and expertise by animating the Veepee data engineering community, attending conferences, contributing to open-source projects, organizing and attending meetups.

Requirements:

At least 5 years of experience in software engineering, preferably in the data field
Strong knowledge of Java, SQL, and Python
Experience with data processing technologies like Apache Beam (or Flink), Spark, Kafka, etc. is a plus.
Experience with distributed data systems: No-SQL databases (e.g. BigTable), Trino, data lakes (e.g. BigQuery), storage (e.g. GCS / S3)
Used to work in a cloud environment (GCP, AWS, Azure,...)
Familiar with the concepts of microservice architecture.
Prior experience with deploying containers on a platform like Kubernetes and its ecosystem is a big plus
Proficiency with version control Git
Experience with tools like dbt is a plus
Interest in machine learning and data analytics
A strong team player, willing to share knowledge with other team members and help out where needed
Strong verbal and written English language skills.

✅ Benefits

Variable bonus
Dynamic and creative environment within international teams
The variety of self-education courses on our e-learning platform
The participation in meetups and conferences locally and internationally
Flexible Office with up to 2 days at home
Flexible retribution package (including Medical Insurance)

⚙️RECRUITMENT PROCESS
1️⃣ 30-minute HR Screen with a Veepeeᵀᵉᶜʰ Recruiter2️⃣ Technical exchange with a Lead PO3️⃣ Team Interview
We are convinced that it is up to you to define the way you work, to develop yourself, and to progress.At Veepee we guarantee that you can just be yourself! For the service of diversity and inclusion, Veepee is committed to reviewing all applications received on an equal basis.
🔗COMPANY For more information about our ecosystem: https://careers.veepee.com/en/home-page-en/","hiringOrganization":{"@type":"Organization","name":"Veepee","sameAs":"https://veepee.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Lead, Data Engineer","datePosted":"2025-09-22","description":"

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

Responsible for overseeing junior data engineering activities and aiding in building the organisations data collection systems and processing pipelines. Oversee infrastructure, tools and frameworks used to support the delivery of end-to-end solutions to business problems through high performing data infrastructure. Responsible for expanding and optimising the organisations data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

Qualifications

Type of Qualification: Post Graduate Degree
\nField of Study: Information Studies / Information Technology
\n
\nExperience Required
\nData Monetisation
\nData & Analytics
\n8-10 years
\nExperience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
\n
\n8-10 years
\nStrong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
\n
\n8-10 years
\nWorking SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Additional Information

Behavioural Competencies:

Adopting Practical Approaches
Articulating Information
Challenging Ideas
Checking Things
Examining Information
Exploring Possibilities
Interpreting Data
Meeting Timescales
Producing Output
Providing Insights
Team Working
Upholding Standards

Technical Competencies:

Data Analysis
Database Administration
Data Integrity
Information Technology Architecture
IT Applications
Knowledge Classification

","hiringOrganization":{"@type":"Organization","name":"Standard Bank Group","sameAs":"https://www.standardbank.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Johannesburg, South Africa","addressCountry":"South Africa","addressRegion":"Africa"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Data Engineer, Product - USDS","datePosted":"2025-09-22","description":"About the team
\nThe Product Engineering team designs and implements data strategies and solutions across multiple product domains, including User Growth, Account, Location Based Services, and Notifications. Our Data Engineers work collaboratively in a dynamic environment, where they can directly influence the direction of our products and contribute to the overall success of our company.
\n
\nIn order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
\n
\nResponsibilities
\n- Build and maintain efficient and reliable data pipelines to support business initiatives in the user growth domain
\n- Drive data warehouse design in accordance to long-term product goals
\n- Work closely with cross-functional analytics and engineering teams to define and build data metrics and dimensions to drive feature launches and growth strategies
\n- Establish solid design and best engineering practices from a big data perspective","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

Roblox Operating System (ROS) is our internal productivity platform that governs how Roblox operates as a company. Through an integrated suite of tools, ROS shapes how we make talent and personnel decisions, plan and organize work, discover knowledge, and scale efficiently.

We are seeking a Senior Data Engineer to enhance our data posture and architecture, synchronizing data across vital third-party systems like Workday, Greenhouse, GSuite, and JIRA, as well as our internal Roblox OS application database. Our Roblox OS app suite encompasses internal tools and third-party applications for People Operations, Talent Acquisition, Budgeting, Roadmapping, and Business Analytics. We envision an integrated platform that streamlines processes while providing employees and leaders with the information they need to support the business.

This is a new team in our Roblox India location, working closely with data scientists & analysts, product & engineering, and other stakeholders in India & US. You will report to the Engineering Manager of the Roblox OS Team in your local location and collaborate with Roblox internal teams globally.

\n\n

Work Model: This role is based in Gurugram and follows a hybrid structure — 3 days from the office (Tuesday, Wednesday & Thursday) and 2 days work from home.

This role involves collaboration with our US-based team as, So It would be requiring some overlapping working hours

\n\n

You Will

Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust, scalable data pipelines using orchestration frameworks like Airflow to synchronize data between internal systems.
Implement and Optimize ETL Processes: Apply strong understanding of ETL (Extract, Transform, Load) processes and best practices for seamless data integration and transformation.
Develop Data Solutions with SQL: Utilize your proficiency in SQL and relational databases (e.g., PostgreSQL) for advanced querying, data modeling, and optimizing data solutions.
Contribute to Data Architecture: Actively participate in data architecture and implementation discussions, ensuring data integrity and efficient data transposition. Manage and optimize data infrastructure, including database, cloud storage solutions, and API endpoints.
Write High-Quality Code: Focus on developing clear, readable, testable, modular, and well-monitored code for data manipulation, automation, and software development with a strong emphasis on data integrity.
Troubleshoot and Optimize Performance: Apply excellent analytical and problem-solving skills to diagnose data issues and optimize pipeline performance.
Collaborate Cross-Functionally: Work effectively with cross-functional teams, including data scientists, analysts, and business stakeholders, to translate business needs into technical data solutions.
Ensure Data Governance and Security: Implement data anonymization and pseudonymization techniques to protect sensitive data, and contribute to master data management (MDM) concepts including data quality, lineage, and governance frameworks.

You Have

Data Engineering Expertise: At least 6+ Proven experience designing, building, and maintaining scalable data pipelines, coupled with a strong understanding of ETL processes and best practices for data integration.
Database and Data Warehousing Proficiency: Deep proficiency in SQL and relational databases (e.g., PostgreSQL), and familiarity with at least one cloud-based data warehouse solution (e.g., Snowflake, Redshift, BigQuery).
Technical Acumen: Strong scripting skills for data manipulation and automation. Familiarity with data streaming platforms (e.g., Kafka, Kinesis), and knowledge of containerization (e.g., Docker) and cloud infrastructure (e.g., AWS, Azure, GCP) for deploying and managing data solutions.
Data & Cloud Infrastructure Management: Experience with managing and optimizing data infrastructure, including database, cloud storage solutions, and configuring API endpoints.
Software Development Experience: Experience in software development with a focus on data integrity and transposition, and a commitment to writing clear, readable, testable, modular, and well-monitored code.
Problem-Solving & Collaboration Skills: Excellent analytical and problem-solving abilities to troubleshoot complex data issues, combined with strong communication and collaboration skills to work effectively across teams.
Passion for Data: A genuine passion for working with amounts of data from various sources, understanding the critical impact of data quality on company strategy at an executive level.
Adaptability: Ability to thrive and deliver results in a fast-paced environment with competing priorities.

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

","hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://www.roblox.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurugram, Haryana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Celonis Data Engineer - Associate Consultant","datePosted":"2025-09-22","description":"

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

The person will work on a variety of projects in a highly collaborative, fast-paced environment. The person will be responsible for software development activities of KPMG, India. Part of the development team, he/she will work on the full life cycle of the process, develop code and unit testing. He/she will work closely with Technical Architect, Business Analyst, user interaction designers, and other software engineers to develop new product offerings and improve existing ones. Additionally, the person will ensure that all development practices are in compliance with KPMG’s best practices policies and procedures. This role requires quick ramp up on new technologies whenever required

Role – Celonis Data Engineer

Location – Bangalore

Experience – 4 to 6 Years

Key Responsibilities :-

At least 3+ years of experience in databases, data integration, and data modeling.
Minimum 3 years of experience in Celonis process mining.
Strong skills in SQL and PQL.
Experience with cloud-based data technologies.
Ability to lead teams and drive project completion as per business requirements.
Experience in managing the Celonis platform and optimizing APC consumption.

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Equal Opportunity Employer:

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you

","hiringOrganization":{"@type":"Organization","name":"KPMG India","sameAs":"https://kpmg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Data Engineer – Responsable de flujos de orquestación de datos (f/m/d)","datePosted":"2025-09-22","description":"

DescripcióN De La Empresa

En T-Systems, encontrarás proyectos rompedores que suman al bienestar social y ecológico. Queremos dar la bienvenida a nuevos talentos como tú, que aporten ideas frescas, puntos de vista distintos, que acepten retos y un continuo aprendizaje, para crecer e impactar a la sociedad… ¡Todo esto, de una forma divertida!

No importa cuándo o dónde trabajes. Se trata de hacer un trabajo que importe para hacer avanzar a la sociedad. Por esta razón, haremos todo lo posible para asegurarnos de que tengas todas las posibilidades de desarrollo ofreciéndote una red de apoyo, excelente tecnología, un entorno de trabajo nuevo y la libertad de trabajar de forma autónoma. Te apoyamos a crecer constantemente tanto personal como profesionalmente, para que puedas dejar una huella notable en la sociedad.

T-Systems somos un equipo de alrededor 28 000 personas empleadas en todo el mundo, convirtiéndonos en uno de los principales proveedores mundiales de soluciones integradas de extremo a extremo. Desarrollamos soluciones de cloud híbrida, inteligencia artificial e impulsamos la transformación digital de las empresas, la industria, el sector público y en definitiva, de toda la sociedad.

DescripcióN Del Empleo

📍 Ubicación: Reus, Granada, Sevilla, Málaga, A Coruña o Valencia.
\n💼 Jornada completa | Modalidad híbrida

En T-Systems buscamos un/a Data Engineer con experiencia en integración de datos complejos para incorporarse a nuestro equipo especializado en genómica. Tu misión será diseñar, desarrollar y operar pipelines de ingestión e integración de datos, asegurando calidad, trazabilidad y escalabilidad en entornos regulados.

Si dominas los flujos ETL/ELT y tienes experiencia en herramientas como Airflow o NiFi, ¡esta es tu oportunidad para unirte a un proyecto innovador con impacto directo en la salud y la investigación!

¿Qué harás en este rol?

Orquestar y monitorizar flujos con herramientas como Apache NiFi y Airflow.
Integrar fuentes diversas: bases relacionales, NoSQL, APIs REST/GraphQL, data lakes, Kafka...
Establecer mecanismos de trazabilidad, monitorización y alertas de procesos.
Documentar exhaustivamente los modelos de datos, procesos y APIs.
Diseñar y desplegar pipelines de ingestión y transformación de datos genómicos y clínicos (FASTQ, BAM, VCF, registros clínicos...).

Requisitos

Solo se tramitarán las candidaturas que indiquen su residencia en Reus, Granada, Sevilla, Málaga, A Coruña o Valencia.

Indispensables:

+3 años de experiencia en ingeniería de datos, con enfoque en integración y transformación.
Experiencia práctica con Airflow, NiFi.
Experiencia en modelado de datos estructurados/semi-estructurados y Big Data (Hadoop, Spark).
Uso de sistemas de mensajería como Apache Kafka.
Buen conocimiento de seguridad, calidad de datos y cumplimiento normativo (ej. GDPR).

Muy Valorable:

Conocimientos en Infraestructura como Código (Terraform, Helm).
Familiaridad con entornos de CI/CD: GitLab CI/CD, Jenkins...

InformacióN Adicional

¿Qué es lo que le ofrecemos?

Ambiente de trabajo internacional, positivo, dinámico y motivado.
Modelo de trabajo híbrido (teletrabajo/presencial).
Horario flexible.
Formación continua: Preparación certificaciones, acceso a Coursera, clases semanales de inglés y alemán...
Plan de compensación flexible: seguro médico, tickets restaurante, guardería, ayudas al transporte...
Seguro de vida y accidentes.
Más de 26 días laborables de vacaciones al año.
Fondo social.
Servicio gratuito en especialistas (médicos, fisioterapeutas, nutricionistas, psicólogos, abogados...)
100% del salario en caso de baja médica

¡Y muchas más ventajas de formar parte de T-Systems!

Si estás buscando un nuevo desafío, no dudes en enviarnos tu CV. ¡Únete a nuestro equipo!

T-Systems Iberia solo procesará los CV de las candidaturas que cumplan los requisitos especificados para cada oferta.

","hiringOrganization":{"@type":"Organization","name":"T-Systems International","sameAs":"https://www.t-systems.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Valencia, VC, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}}]}

Company Description

Our Story

Working At Ollion

The Ollion Difference

Job Description

Key Responsibilities:

Additional Responsibilities:

Qualifications

Additional Information

And More!

Diversity At Ollion

Responsibilities:

Experience:

Benefits:

Company Description

Job Description

What You’Ll Do:

Qualifications

What We’Re Looking For:

Additional Information

Why Work For Sgs?

Company Description

Why Join Us?

Job Description

Collaboration & Communication

Documentation & Governance

Performance & Optimisation

Qualifications

Essential:

Desirable:

Additional Information

#Lendigroup #Li-Gr2 #Li-Hybrid

Deine Rolle

Dein Profil

Was Dir Bei Uns Besonders Gefallen Wird

ÜBer Capgemini

The Opportunity

Learn More:

What You'Ll Do

What You Need To Succeed

Job Description

Key Responsibilities

Cloud Platform Engineering

Data Pipeline Development

Performance & Reliability

Collaboration & Support

Experience Required:

What You’Ll Love About Working Here

Company Description

Job Description

Responsibilities

Qualifications

Basic Qualifications

Preferred Qualifications

Suggested Skills

Additional Information

Equal Opportunity Statement

Your Future Role Within Qrt:

Your Present Skillset:

Your Present Skillset

Your Present Skillset

Company Description

Job Description

Qualifications

Responsibilities:

This Is Adyen

Data Engineer

What You’Ll Do

Who You Are

What’S Next?

Job Description:

Responsibilities For This Role:

You Are A Good Fit For This Role If You:

Technologies We Use:

Benefits

Company Description

Job Description

Summary

What You'Ll Do

Qualifications

Set your job search on autopilot

Data Engineer Jobs

Senior Data Engineer – Microsoft Fabric & Azure

Data Engineer, Driver Team

Field Data Engineer

Data Engineer

(Senior) Data Engineer (Databricks/Snowflake) (m/w/d)

Senior Big Data Engineer, Adobe Experience Platform

Senior Platform Data Engineer - Azure Databricks

Senior Data Engineer - Data Science

HR Analytics & Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer - Tooling

Data Engineer

Data Engineer II, Banking

Data Engineer

Data Engineer (East Coast Remote)

Cloud Data Engineer

Data Engineer, Data Lake

Data Engineer, Global Operations Analytics and Technology

Data Engineer, Global Operations Analytics and Technology

AI Data Engineer

Data Engineer

Senior Data Engineer (Teradata, SQL, BigQuery)

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer

Data Engineer Java Spark

Data Engineer – Senior (REF4613Y)

Ingénieur en Données Géospatiales / Geospatial Data Engineer

Senior Data Engineer F/H

Zero Trust Data Engineer - Sr. (4616) (TS/SCI) (Ft. Belvoir, VA)

Data Engineer

Data Engineer

Data Engineer (Senior) ID40199

Data Engineer (Senior) ID40199

Data Engineer (Senior) ID40199

Data Engineer (Senior) ID40199

Senior/Lead Data Engineer

Senior/Lead Data Engineer

(1231) Senior Data Engineer

Data Engineer - Distribution Factory

Cloud Data Engineer

Data Engineer

Data Engineer

Lead, Data Engineer

Data Engineer, Product - USDS

Senior Data Engineer

Celonis Data Engineer - Associate Consultant

Data Engineer – Responsable de flujos de orquestación de datos (f/m/d)