Project description
For a leading financial services client we are looking for a Senior Data Engineer to design, build and operate scalable data pipelines and data platform components in a regulated enterprise environment.
Start: December 26/January 27
Duration: 12 months
Utilization: 100%
Work model: Fully Remote, on-site presence only every few months
Why Join?
This is an exciting opportunity to shape business-critical analytics solutions for a leading financial services client, working in a modern, data-driven environment with high visibility and ownership
Your tasks
- Design, develop and maintain robust batch and streaming data pipelines
- Build and optimize data models and data warehouse / lakehouse structures
- Ensure data quality, lineage, monitoring and performance of data workflows
- Work closely with analysts, architects and business stakeholders
- Contribute to CI/CD, automation and engineering best practices
- Several years of hands-on experience as a Data Engineer (senior level)
- Experience in banking / financial services or other regulated industries
- Strong SQL and Python (or Scala/Java)
- Experience with Spark and/or cloud data platforms (Azure, AWS or GCP, e.g. Databricks, Snowflake)
- Experience with orchestration tools (e.g. Airflow) and CI/CD
- Solid knowledge of data modelling and ETL/ELT concepts
- Fluent English (spoken and written)
- Streaming experience (e.g. Kafka)
- Knowledge of data governance and data quality frameworks
- German language skills