2 months ago
Leverkusen, GermanySenior
Responsibilities
- Design and implement data integration and data management solutions for R&D, product management, and sustainability.
- Analyze project requirements independently and identify relevant data sources and tools for data provisioning.
- Develop and operate scalable, maintainable data pipelines for integration, transformation, and production-data quality assurance.
- Design data models for analytical use cases and maintain a company-wide data mesh catalog.
- Build and operate CI/CD pipelines for automated testing, deployments, and infrastructure provisioning.
- Collaborate with cloud architects and platform teams on automation, monitoring, and observability of data solutions.
- Contribute to data governance initiatives involving metadata management, data lineage, and access control.
Requirements
- A degree in mathematics, computer science, natural sciences, or engineering, or a comparable qualification with relevant hands-on experience.
- Solid professional experience in data engineering, ideally in a scientific or industrial environment.
- Confident professional use of Python for data pipeline development.
- Experience with SQL, analytical query engines such as AWS Athena, and distributed data processing with PySpark.
- Hands-on experience with AWS Cloud Services, particularly S3, Glue, Athena, Lambda, ECS, Step Functions, Lake Formation, and CDK.
- Familiarity with dbt or comparable transformation frameworks and infrastructure as code using AWS CDK or CloudFormation.
- Experience with CI/CD workflows, GitHub Actions, Git-based development, Docker, ECR, and ECS Fargate.
- Strong written and spoken English skills.
- Nice-to-have experience with Polars, DuckDB, Apache Iceberg, Delta Lake, data mesh concepts, Streamlit, SAP Analytics Cloud, OpenMetadata, OpenLineage, DataZone, Grafana, CloudWatch, Apache Airflow, uv, ruff, or AWS CodeArtifact.
Benefits
- Full-time position with a stated starting salary of €89,400 to €108,500 per year plus a variable component.
- Generally intended as a full-time role, with part-time arrangements available by indicating the preferred percentage.
- Hybrid work arrangement indicated by #LI-Hybrid.
- Flexible working hours and support for balancing family and work.
- Active health promotion and options to convert part of salary into long-term or retirement savings.
- Onboarding and tailored development opportunities.
- International team environment focused on digitalization of chemical R&D.
About Covestro
Covestro manufactures polymer materials such as polycarbonate, polyurethane, and specialty coatings and adhesives for customers in automotive, construction, electronics, healthcare, and consumer goods. It sells globally through a chemicals manufacturing model spanning resins, intermediates, and material systems used in mass production. The company was spun off from Bayer in 2015, is headquartered in Leverkusen, Germany, and is publicly listed on the Frankfurt Stock Exchange.