Data Engineer
vor 19 Stunden
Data Engineer
Location: Cologne (hybrid)
Our client is seeking a Data Engineer to help design and operate a modern cloud-based data platform. In this role you will collaborate across functions to build scalable data products that deliver real business value.
Key Responsibilities:
- Develop, optimise, and maintain a central data platform using cloud and data mesh principles.
- Build robust ETL/ELT pipelines, integrate diverse data sources, and design scalable data models.
- Work in agile, cross-functional squads with data experts, engineers, and business stakeholders.
- Apply tools like Snowflake, AWS, dbt, and Python to deliver high-quality, efficient data solutions.
- Champion modern development practices including version control, testing, and automation.
- Drive innovation and take ownership in a flat, collaborative team structure.
Requirements:
- 1+ years of data engineering experience and a degree in informatics or a related field.
- Proficiency with cloud data platforms (e.g. Snowflake).
- Strong SQL and Python skills; experience with dbt is a plus.
- Solid grasp of data modelling (Data Vault 2.0, bitemporal concepts).
- AWS experience preferred, Azure and GCP also accepted.
- Familiarity with DataOps and software engineering best practices.
- Strong analytical and communication skills.
- Fluent German.
Benefits:
- Modern cloud data tech stack and evolving data landscape.
- Flexible work.
- Competitive salary, pension plan, and financial perks.
- Extensive learning opportunities.
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