Finance Data Engineer (f/m/d)

The Finance Data Engineer is responsible for designing, developing, and maintaining data pipelines, interfaces, and technical integration components required to support finance reporting and data products. The role is focused on reliable and efficient movement, transformation, and provisioning of data across source systems, staging layers, and target reporting environments.

Within the future Finance Data Platform team, this role will help translate business and technical design requirements into robust solutions.

The Data Engineer should be comfortable working with structured data pipelines, interfaces, source-to-target mappings, deployment cycles, and technical troubleshooting.

This is a delivery-oriented role with strong impact on execution speed, processing stability, and the scalability of the future setup. The ideal candidate combines solid engineering discipline with enough business awareness to understand why certain data sets, controls, and timelines matter in a finance context.

What you will do

• Design, build, test, and maintain data pipelines and interfaces supporting finance reporting and analytics use cases.
• Implement extraction, transformation, and loading logic to agreed specifications, with clear source-to-target mappings.
• Support SAP and non-SAP integration within scope and keep processing jobs stable and performant.
• Embed data quality checks and control points into the processing flow.
• Investigate and resolve data processing errors, technical failures, and interface issues.
• Support deployment, testing, defect fixing, and post-go-live stabilisation.
• Document implementations and mappings; contribute to engineering standards and automation opportunities.
• Actively apply AI and automation to improve the platform — accelerating pipeline development, simplifying data flows, and raising code quality and maintainability.

What you bring

• University degree in Computer Science, Information Systems, Engineering, Mathematics, Business Informatics, or a related discipline.
• Solid professional experience in data engineering, ETL development, data integration, or related technical implementation roles.
• Strong SQL and solid understanding of relational structures, transformations, and performance.
• Hands-on pipeline / interface build experience with ETL concepts (mappings, scheduling, error handling, deployment).
• Systematic problem-solving and clear technical documentation.
• Excellent communication skills in English.
• Experience with Data Modelling, Data Integration, Data Management, Data Governance and Data Reporting.

Nice to Have

• SAP-related integration experience (SAP BW, extractors, SAP source systems).
• Exposure to cloud data platforms and modern data engineering patterns.
• Finance reporting cycle awareness (month-end / planning sensitivities).
• Experience in Python.
• Experience in financial services / asset management.
• German is a plus.

What we offer

• We empower our employees by ensuring flexible work arrangements that maintain a balance between performance, productivity, career development and personal priorities (e.g., hybrid model/ flexible working hours)
• Securing your future: Access to company pension/savings plans
• Family support (relocation/ childcare facilities)
• Company share purchasing plan
• Mental health and wellbeing programs
• Mobility solutions (Jobrad bike leasing, subvention Jobticket)
• Career opportunities within the entire Allianz Group
• Self-guided learning & development
• … and so much more!