Data Engineer (44457)

A strategic controlling analytics programme at an international banking group is strengthening its team with a Data Engineer. The role covers the design, development and maintenance of data pipelines and analytical data structures on a Databricks-based platform, with Tableau used for reporting. Required are 5+ years of experience with Databricks, Spark/PySpark, advanced SQL, ETL/ELT solutions and dimensional modelling.

🚀 Project
- Analysis of source systems and design of data integration
- Design and development of ETL/ELT processes in Databricks
- Development of transformations using Spark/PySpark
- Building and maintaining analytical data models and data marts
- Ensuring quality, consistency and performance of data processing
- Support for testing, deployment and production operation
- Collaboration with analysts, reporting developers, architects and business
- Involvement in architecture and implementation decisions

🎯 Skills
- 5+ years of relevant experience
- Strong hands-on experience with Databricks development
- Advanced SQL
- Strong programming experience with Spark/PySpark
- Experience designing and implementing ETL/ELT solutions
- Knowledge of data warehousing and dimensional modelling
- Experience with performance optimisation of data processing and troubleshooting data issues
- Experience in a banking/financial environment and understanding of controlling and management reporting
- Experience with Agile/Scrum and collaboration in an international team
- Independence, analytical thinking and ownership of deliverables
- English for work communication (C1)

💡 Nice to have
- Experience with enterprise analytics platforms and large-scale data ecosystems
- Knowledge of data governance and data quality frameworks
- Experience with data support for financial KPIs, profitability and cost reporting
- Knowledge of Tableau and experience preparing data for reporting

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