Data Engineer

Job description

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.

Data Engineer

In Bayer’s global Product Platform Research we thrive to continuously improve our existing product portfolio and create new products that support our scientists in Pharma on their search for new (digital) therapies. We are seeking excellent Software Engineers (m/f/d) driven by our vision “Health for all, hunger for none”. As Software Engineer you will be working as part of our interdisciplinary DevOps teams sized 4-6 people where you can follow (y)our purpose and grow while working on tough challenges in a global pharma research setting. If you are passionate about creating cutting edge software together with scientists to help cure life-threatening diseases, we would love to hear from you.


  • You create and maintain an optimal data structure and pipeline architecture
  • You build infrastructure required to optimally extract, transform, and load data from a diverse data sources using various modern and big data technologies
  • You help our team to turn scientific datasets into a data product, so that it can be further analyzed, visualized, and processed.
  • You identify and address risks and gaps in technical approaches and develop solutions to meet team and product goals and make your product better
  • You identify the most important problems to solve, minimize scope, and assess the value of solutions
  • You keep yourself informed about new tools, technologies and architecture patterns and look for opportunities to apply your findings to your tech stack
  • Apply continuous delivery practices to deliver high quality data pipelines
  • You participate in code reviews, pair programming sessions to improve your product and make your team more resilient


  • University degree (Master or PhD) in computer science, computational biology/chemistry (or equivalent natural science degree ).
  • You have a life science, scientific or engineering background, or have worked with customers from these fields before
  • You have several years of experience with building and operating data platforms
  • You have experience in data modeling and architectural design
  • Moreover, you have experience integrating data sources into a data platform, building data pipelines, and modeling large data sets in distributed databases such as Snowflake, Presto/Trino, Apache Spark/PySpark
  • You are familiar with developing data-oriented APIs, such as GraphQL as well as with graph-based data systems like triple stores
  • Knowledge of (cloud) technologies such as AWS, Terraform, Lambda functions, networking and security complete your profile
  • Fluent in English, both written and spoken. German is a plus but not mandatory

Work life balance is important to us. The position can also be taken part-time. Name your preference in your job application.
We look forward to it!


This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

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.


Spain : Cataluña : Barcelona


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