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Covestro

Global supplier of polyurethanes and polycarbonates

Data Engineer - Digital Research and Development

Data EngineeringConfirmed live in the last 24 hours
Full-timeLeverkusen, GermanyHybrid

About the Job

Requirements

  • You hold a degree in mathematics, computer science, natural sciences, or engineering (STEM), or a comparable qualification with relevant hands-on experience.
  • 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.
  • You have experience with SQL, analytical query engines such as AWS Athena, and distributed data processing with PySpark.
  • You have hands-on experience with AWS Cloud Services, particularly S3, Glue, Athena, Lambda, ECS, Step Functions, Lake Formation, and CDK.
  • You are familiar with dbt (Data Build Tool) or comparable transformation frameworks, and Infrastructure as Code such as AWS CDK or CloudFormation.
  • You have experience with CI/CD workflows, GitHub Actions, Git-based development processes, and containerization with Docker, ECR, and ECS Fargate.
  • You have strong written and spoken English skills.

Responsibilities

  • Design and implement data integration and data management solutions, focusing on research and development, product management, and sustainability.
  • Independently analyze project requirements, identify relevant data sources, and select appropriate tools for data provisioning.
  • Develop and operate data pipelines for integration, transformation, and quality assurance of production data, with scalability and maintainability in mind.
  • 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 to shape automation, monitoring, and observability of data solutions.
  • Contribute to data governance initiatives covering metadata management, data lineage, and access control.

Desired Qualifications

  • Experience with single-node data processing frameworks such as Polars or DuckDB.
  • Knowledge of Lakehouse architectures such as Apache Iceberg and Delta Lake, and data mesh concepts.
  • Experience with data visualization tools such as Streamlit and SAP Analytics Cloud.
  • Familiarity with data governance tools such as OpenMetadata, OpenLineage, or DataZone.
  • Experience with monitoring and observability tools such as Grafana and CloudWatch.
  • Knowledge of workflow orchestration tools such as Apache Airflow and AWS Step Functions.
  • Familiarity with modern Python tooling and package management, including uv, ruff, and AWS CodeArtifact.

About the Company

Covestro

Global supplier of polyurethanes and polycarbonates

Covestro makes high-tech polymers, such as polyurethanes and polycarbonates, that are used in everyday products like cars, building insulation, electronics, and footwear. Its materials work by forming durable plastics and foams that add strength, lightness, and other useful properties to end products. Covestro became independent from Bayer in 2015, and now operates as a standalone materials company that focuses on innovation and sustainability. It differentiates itself through its commitment to a circular economy, aiming to make its operations and products fully circular, and by forming strategic partnerships (for example with Abu Dhabi’s XRG) to accelerate growth and sustainability goals. The company’s goal is to provide advanced materials while reducing environmental impact and moving toward a fully circular materials system.

Company size
10,001+
Company stage
IPO
Headquarters
Leverkusen, Germany
Founded
2015

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