We are looking for an experienced Data Engineer to join a large-scale data transformation programme on an initial 12-month contract.
You will be responsible for designing, developing and maintaining scalable data pipelines and data platforms, working closely with Data Architects, Engineers and business stakeholders.
Key Responsibilities
- Design and develop scalable data pipelines and ETL/ELT processes
- Build and maintain modern cloud-based data platforms
- Develop data solutions using Python and SQL
- Work with large and complex datasets
- Integrate data from multiple sources and systems
- Support data modelling and data architecture initiatives
- Optimise data pipelines for performance and reliability
- Work closely with Data Architects and other technical teams
- Ensure data quality, security and governance standards are maintained
Required Experience
- Strong commercial experience as a Data Engineer
- Strong Python and SQL skills
- Experience building data pipelines and ETL/ELT processes
- Experience with Azure, AWS or GCP
- Experience with Databricks, Snowflake or similar cloud data platforms
- Strong understanding of data modelling and data warehousing
- Experience working with large-scale enterprise data environments
- Good understanding of data integration and data quality
- Strong communication and stakeholder management skills
Desirable Experience
- PySpark
- Databricks
- Snowflake
- Azure Data Factory
- dbt
- Kafka
- Terraform
- CI/CD
- Data Lakehouse architectures
Contract Details
- 12-month initial contract
- Fully remote from Germany
- Competitive daily rate
- EU Citizens only
- Immediate or short-term availability preferred
