Finance Data Engineer (f/m/d)

Allianz Global Investors GmbH; Frankfurt; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Company pension/savings plans

Relocation support

Company share purchasing plan

Wellbeing programs

Zusammenfassung

Allianz Global Investors GmbH in Frankfurt is seeking a Finance Data Engineer to design, develop and maintain data pipelines and interfaces that support finance reporting and data products. You will work across source systems, staging layers and target reporting environments to ensure reliable, scalable data movement.

The role requires solid SQL, ETL, data modeling and strong communication in English. You will collaborate with the Finance Data Platform team to translate business requirements

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

ETL

Data Modeling

Data Integration

Documentation

English

Ausbildung

Bachelor’s or equivalent in CS/IS/Engineering/Math

Tools

Python

SAP BW

Cloud platforms

Jobbeschreibung

About Allianz Global Investors

Allianz Global Investors is a leading active asset manager, managing assets for individuals, families, and institutions worldwide. Our shared goal to shape a future of opportunity for our clients is foundational to our culture and our values. We look to attract, and actively nurture, individuals with the drive to achieve excellence at every stage of the investment experience.

We believe an inclusive culture is key to a flourishing workforce. Not only do we celebrate the broad range of experiences, backgrounds, and attributes that our workforce brings, but we support our people to live and work in a way that promotes their own wellbeing.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer.

We are united by a shared commitment: to put our clients first and at the centre of everything we do. Their needs inspire our thinking and guide our actions.

Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our clients and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

104496 | Finance & Accounting | Professional | n.a. | Allianz Global Investors | Full-Time | Permanent

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!

Good to know: The Fit Score is a support tool only. At Allianz, technology never replaces human judgment. Every application is carefully reviewed by our recruiting teams, ensuring a fair, thoughtful, and personal hiring process.