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.
For initial questions, please contact Chris Rziha ([email protected]). Please do not use this email address to send your application or CV. To apply, please click the "Apply" button. Applications submitted by email will not be considered.
#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:
https://www.career.covestro.de/de/about-covestro/covestro-as-an-employer/employee-benefits
Contact Us
www.covestro.comCovestro welcomes applications from all individuals, regardless of racial or ethnic origin, skin color, nationality, religion, philosophy, gender, age, physical characteristics, marital status, disability, appearance, sexual orientation and sexual identity. We are committed to treating all applicants fairly and avoiding discrimination.
Skills Required
- Degree in mathematics, computer science, natural sciences, engineering, or a comparable qualification with relevant hands-on experience
- Solid professional experience in data engineering, ideally in a scientific or industrial environment
- Proficiency in Python for data pipeline development
- Proficiency in SQL, analytical query engines such as AWS Athena, and distributed data processing with PySpark
- Hands-on experience with AWS services including S3, Glue, Athena, Lambda, ECS, Step Functions, Lake Formation, and CDK
- Familiarity with dbt or comparable data transformation frameworks
- Experience with Infrastructure as Code, including AWS CDK or CloudFormation
- Experience with CI/CD workflows using GitHub Actions and Git-based development processes
- Experience with containerization using Docker, ECR, and ECS Fargate
- Strong written and spoken English skills
- Experience with Polars or DuckDB
- Knowledge of Lakehouse architectures, Apache Iceberg, Delta Lake, and data mesh concepts
- Experience with Streamlit or SAP Analytics Cloud
- Familiarity with OpenMetadata, OpenLineage, or DataZone
- Experience with Grafana or CloudWatch monitoring and observability
- Knowledge of Apache Airflow or AWS Step Functions workflow orchestration
- Familiarity with uv, ruff, or AWS CodeArtifact
Covestro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Covestro and has not been reviewed or approved by Covestro.
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Fair & Transparent Compensation — The company publicly commits to pay equity and a transparent compensation structure, signaling consistency across roles and levels. Competitive pay for manufacturing, engineering, and operations is frequently highlighted alongside solid benefits.
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Retirement Support — U.S. offerings include a 401(k) with company matching and additional retirement contributions, plus an employee stock purchase program. The retirement setup is repeatedly described as especially strong, with examples of automatic contributions and generous matching.
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Leave & Time Off Breadth — Paid time off and holiday observance are standard, complemented by two paid volunteer days in the U.S. Supplemental parental leave and adoption assistance add depth to family support.
Covestro Insights
What We Do
Covestro is one of the world’s leading manufacturers of high-quality polymer materials and their components. With its innovative products, processes and methods, the company helps enhance sustainability and the quality of life in many areas. Covestro supplies customers around the world in key industries such as mobility, building and living, as well as the electrical and electronics sector. In addition, polymers from Covestro are also used in sectors such as sports and leisure, cosmetics and health, as well as in the chemical industry itself. The company is committed to becoming fully circular and is striving to become climate neutral by 2035 (scope 1, 2 and 3). Covestro generated sales of EUR 14.4 billion in fiscal 2023. At the end of 2023, the company had 48 production sites worldwide and employed approximately 17,500 people (calculated as full-time equivalents). Data protection information: https://www.covestro.com/en/social-media-privacy-statements
