Senior Data Engineer

Tasks

The Data & Analytics team is responsible for the central data warehouse as well as reporting and data integration solutions in the core banking system environment. Their focus areas:

• Responsibility for the data warehouse, including historical data storage (e.g., transaction data, inventories, accruals)
• Development of reporting, BI, and analytics solutions for specialist departments and management
• Support for non-API-based interfaces (batch processing, file integrations, job control, monitoring)
• Implementation of banking procedures in the core banking system (e.g., mass data processing, interest accruals, special runs, regulatory evaluations)
• Technical responsibility for data migration during bank onboarding (mapping, transformation, cleansing, validation)
• Ensuring data quality and technical accuracy (reconciliation, plausibility checks)

Requirements

What you bring to the table:

• Higher education in computer science or comparable field
• Several years of experience in developing DWH solutions in the banking sector, ideally with core banking systems (e.g., Finova)
• Very good knowledge of SQL (T-SQL, PL/SQL), data modeling (Star/Snowflake, historical models, ETL/ELT), high level of Python proficiency
• Ideally, experience with Apache Airflow and Apache Hop or similar platforms
• Practical experience with BI/reporting tools, translating technical requirements into semantic models, reports, key figures, and dashboards
• Careful testing and quality focus
• Good communication and coordination skills with specialist departments, module managers, and project teams
• Open-minded, team-oriented, and communicative personality
• Very good German language skills (minimum C1), good English language skills (B1)

technology

• Databases: SQL Server, Oracle
• Development: T-SQL, PL/SQL, Python
• Workflow tool: Apache Airflow
• Data engineering, orchestration: Apache Hop
• Microsoft Fabric, Power BI, Office, Power Query, VBA

We offer

• Exciting and future-oriented environment in a highly competent team
• Attractive employment conditions such as a 40-hour week, flexible working hours, working from home, etc.
• Ideal place to work in the immediate vicinity of Schlieren train station