We are looking for an experienced Data Platform Engineer to join a long-term data transformation programme based in Berlin.
This is a hands-on engineering role working across modern data platforms, data pipelines and cloud technologies, helping build and improve scalable data capabilities within a wider engineering team.
The role
- Design, build and optimise scalable data platform solutions
- Develop and maintain data ingestion and processing pipelines
- Work with cloud-based data platforms and modern data technologies
- Support data lake and data warehouse environments
- Improve platform performance, reliability and scalability
- Automate deployment and operational processes
- Work closely with Data Engineers, Architects and Data/AI teams
- Contribute to the ongoing development of the organisation's data platform
Experience required
- Strong commercial experience in Data Platform Engineering, Data Engineering or a closely related role
- Strong Python and SQL skills
- Experience building data pipelines and ETL/ELT processes
- Experience working with modern cloud data platforms
- Knowledge of data lake, data warehouse or lakehouse architectures
- Experience with one or more of Azure, AWS, GCP, Databricks, Snowflake or Microsoft Fabric
- Understanding of CI/CD, automation and DevOps practices
- Comfortable working with technical and non-technical stakeholders
Language requirement
- Fluent German is essential.
You must be able to communicate confidently in German with internal stakeholders and project teams.
English is also required.
Contract details
Duration: 12 months, Fulltime Freelance
Location: Berlin, Germany
Working model: Hybrid
Start: ASAP / flexible
Language: German & English
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