Data Engineer (m/f/d) – Digital R&D – Including Salary Details
- Vollzeit
We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18.000 colleagues now and together we will make the world a brighter place.
Do you want to do more than just manage data – and create real value for science? At Covestro, data engineering meets cutting-edge research. As a Data Engineer (m/f/d) in our Digital R&D team, you'll be part of a growing, international team driving the digitalization of chemical research and development – from lab automation and data science to high-performance computing and quantum computing.
We're currently building our Data Office: a new team with deep expertise in R&D processes and the data they generate. This is where you come in.
In addition to our wide range of benefits, a full-time position offers an attractive starting salary between €89,400/year and €108,500/year plus a variable component. The starting salary is based on your qualifications and professional experience.
What you'll be doing:
- You take ownership of designing and implementing data integration and data management solutions – with a focus on research & development, product management, and sustainability
- Project requirements are analyzed independently, identifying relevant data sources and appropriate tools for data provisioning
- You develop and operate data pipelines for integration, transformation, and quality assurance of production data – with scalability and maintainability in mind
- Data models are designed purposefully for various analytical use cases, and you maintain a company-wide data mesh catalog
- You build and operate CI/CD pipelines for automated testing, deployments, and infrastructure provisioning
- In close collaboration with cloud architects and platform teams, you actively shape the automation, monitoring, and observability of data solutions
- You contribute actively to data governance initiatives – covering metadata management, data lineage, and access control
What you bring to the table:
- You hold a degree in mathematics, computer science, natural sciences, or engineering (STEM) – or a comparable qualification with relevant hands-on experience
- Additionally, you have solid professional experience in data engineering, ideally in a scientific or industrial environment
- Python is your primary programming language, and you apply it confidently in data pipeline contexts
- SQL, analytical query engines (e.g. AWS Athena), and distributed data processing with PySpark are part of your technical toolkit
- You have hands-on experience with AWS Cloud Services – in particular S3, Glue, Athena, Lambda, ECS, Step Functions, Lake Formation, and CDK
- dbt (Data Build Tool) or comparable transformation frameworks are familiar to you, as is Infrastructure as Code (AWS CDK, CloudFormation)
- CI/CD workflows with GitHub Actions and Git-based development processes are second nature to you – as is containerization with Docker, ECR, and ECS Fargate
- Strong English skills, both written and spoken, round off your profile
Nice to have, but not a must:
- Experience with single-node data processing frameworks such as Polars or DuckDB
- Knowledge of Lakehouse architectures (Apache Iceberg, Delta Lake) and data mesh concepts
- Experience with data visualization (Streamlit, SAP Analytics Cloud)
- Familiarity with data governance tools such as OpenMetadata, OpenLineage, or DataZone
- Experience with monitoring and observability (Grafana, CloudWatch)
- Knowledge of workflow orchestration tools (Apache Airflow, AWS Step Functions)
- Familiarity with modern Python tooling and package management (uv, ruff, AWS CodeArtifact)
This position is generally intended as a full-time role. Prefer part-time? Feel free to apply and simply indicate your preferred percentage.
#LI-Hybrid
Perfection? Not required!
The requirements are not met 100%, but you are still interested in the position? Are you curious, courageous and colorful as we are? No problem!
We'll tackle this together - as a team! With proper onboarding and tailored development opportunities.
Apply now!
We look forward to receive your application! Become #1ofUs!
Anyone who wants to contribute to a better world with Covestro can also expect a lot.
We want you to feel at home at Covestro. To feel you’re treated fairly and transparently. That means financial security, a healthy work-life balance and generous benefits.
Specifically, it means for us: flexible working hours, the compatibility of family and work, active health promotion and the ability to convert part of your salary into long-term or retirement savings. And that's not all.
Sounds exciting? Find out more about Covestro and our benefits here: