Data Engineer (f/m/div.)

Company Description

The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Since its inception, Robert Bosch, SA, based in Lisbon, has proudly served as the cornerstone of the Bosch Group's presence in Portugal. We excel in providing essential central services such as Accounting, Procurement, Communications, Legal and Marketing, firmly establishing our reputation as a leader in critical domains like Information Technology and Industrial Consultancy. Moreover, our strong dedication to our most invaluable asset, our people, lies at the very core of our mission.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

We are seeking a highly motivated Data Engineer to join our team and help shape data-driven solutions that power strategic decision-making. You will design and maintain scalable pipelines, ensure data quality and performance, and collaborate with cross-functional teams in an agile environment.

• Design, build, and optimise robust and scalable data pipelines in the cloud
• Monitor and improve data workflows, ensuring high availability, performance, and quality
• Perform peer code reviews and validate data pipelines to maintain best practices
• Collaborate with business stakeholders to deliver reliable and efficient data solutions
• Support dashboard performance and troubleshoot data issues in collaboration with end-users
• Contribute to the evolution of data engineering frameworks, tools, and methodologies

Qualifications

Education

• Degree in Computer Science, Engineering, Information Systems, or a related field

Experience

• Proven track record in data engineering projects, preferably in agile environments
• Experience in designing, building, and optimising data pipelines in the cloud
• Hands-on experience with code reviews, validation processes, and dashboard optimisation

Know-How

• High proficiency in Python and SQL
• Extensive knowledge of PySpark
• Experience with Azure Databricks is highly valued
• Strong understanding of software development principles (e.g., SOLID, clean code)
• Ability to monitor, troubleshoot, and improve performance of data workflows

Languages

• Portuguese: Fluent (spoken and written)
• English: Fluent (spoken and written)
• Additional languages will be considered a plus

Working Style and Methods

• Collaborative, agile, and customer-oriented mindset
• Proactive in identifying opportunities for improvement and innovation
• Strong focus on data quality, scalability, and efficiency

Personality

• Excellent problem-solving and analytical skills
• Strong communicator with intercultural competencies
• Team player with a positive and resilient attitude
• Eager to learn and share knowledge within the team

Additional Information

Work #Likeabosch Includes:

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🧑‍⚕️ Health insurance and medical office on site (general clinic)

📚 Training opportunities (p.e., technical training, foreign languages training) & certifications

📈 Opportunities for career progression and continuous professional development

💲 Access to great discounts in partnerships and Bosch

🏋️ Sports and health related activities (gym)

🚉 Great access to public transports

🅿️ Free parking lot

🍽️ Canteen

Success stories don´t just happen. They are made...

Make it happen. We are looking forward to your application!