At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

For Digital Hub Warsaw, we are looking for:

Senior Data AWS Engineer

Participate in a global, strategic project in the Bayer Consumer Health division that will influence data in our business and manufacturing processes going forward. Our AWS-based data platform aggregates information from various sources to promote efficiency, creativity and better decision-making. To build scalable, high-performing and secure pipelines while working with teams around the world, we are seeking a hands-on Data Engineer. Contribute to a platform that will shape Bayer's digital future for Consumer Health division.

Your Tasks & Responsibilities:

Play a key role in driving the design and implementation of AWS Data Lake, including orchestration and security guardrails
Define and enforce data architecture standards, including metadata, lineage and governance
Build and optimize ETL/ELT pipelines using AWS Glue, Spark, Athena, Lake Formation, S3, Step Functions, Lambda
Collaborate with DevSecOps engineers on infrastructure automation and CI/CD pipelines using tools such as GitHub Actions and Terraform
Automate deployment and management of data infrastructure and workflows to ensure reliability and scalability
Implement and manage IAM policies, KMS encryption, VPC configurations and audit mechanisms to ensure security and compliance
Ensure platform scalability, performance and cost efficiency (e.g., partitioning, catching strategies)
Coordinate integration with AI/ML pipelines, including feature engineering and data validation
Participate in validation and documentation efforts aligned with GxP
Engage with stakeholders (Product, PM, PO, Architects) to align technical design with business needs
Manage and reduce technical debt in data pipelines and infrastructure
Act as technical lead and reviewer for offshore data engineers

Qualifications & Competencies (education, skills, experience):

5+ years of experience in data engineering on AWS
Strong knowledge of AWS data stack: Glue, Athena, Lake Formation, S3, Step Functions, Lambda, RDS etc.
Proficient in Python for scripting, automation and data manipulation tasks
Experience with PySpark for building scalable, distributed ETL/ELT pipelines using Apache Spark (especially within AWS Glue)
Experience designing enterprise data lakes and data mesh architecture
Experience in structuring and modelling data in both relational and non-relational forms
Ability to elaborate and propose relational/non-relational approach
Advanced knowledge of databases, including query optimization, relational and non-relational schema design
Expertise in data storage technologies, including files, relational databases, NoSQL and various data types (structured, unstructured, metrics, logs)
Deep understanding of data governance, lineage and metadata management
Experience in implementing data quality frameworks, validation checks and monitoring to ensure reliability of data
Hands-on experience with real-time data streaming technologies and patterns (e.g. Kinesis, Kafka, or similar) for event-driven architectures
Solid awareness of DevSecOps practices, including automation of CI/CD pipelines (GitHub Actions or similar), infrastructure as code (Terraform), IAM roles, encryption, SAST/SCA tools integration, auditability
Leadership and team coordination skills - ability to lead distributed teams
AWS Certified Data Engineer - Associate, additional certifications such as AWS Certified DevOps Engineer, AWS Certified Solutions Architect or AWS Certified Developer are a plus
Fluent in English (written and spoken)

Nice to Haves:

Experience with AI/ML data pipelines, embedding management or feature stores
Knowledge of data quality frameworks
Hands-on experience configuring and developing dashboards in tools such as Power BI, Grafana or Tableau, including data source integration, metric definitions, and visual layer optimization
Experience in regulated environments (GxP, pharma, financial or healthcare)

What do We offer:

A flexible, hybrid work model
Great workplace in a new modern office in Warsaw
Career development, 360° Feedback & Mentoring program
Wide access to professional development tools, training, & conferences
Company Bonus & Reward Structure
VIP Medical Care Package (including Dental & Mental health)
Holiday allowance (“Wczasy pod gruszą”)
Life & Travel Insurance
Pension plan
Co-financed sport card - FitProfit
Meals Subsidy in Office
Additional days off
Budget for Home Office Setup & Maintenance
Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
Tailored-made support in relocation to Warsaw when needed
Please send your CV in English

You feel you do not meet all the criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

YOUR APPLICATION

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Bayer respects and applies the Whistleblower Act in Poland.

Location: Poland : Mazowieckie : Warszawa Division: CH Reference Code: 851381

Location:

Poland : Mazowieckie : Warszawa

Division:

Reference Code:

851381