Financial Data Platform Engineer - GRIPS (m​/f​/d

103055 | IT & Entwicklung | Berufserfahren | keine Angabe | IDS | Vollzeit | Dauerhaft

Join the team behind GRIPS — Group Risk Parameters — one of the key analytics platforms within Allianz Group for yield curves and related financial risk parameters. GRIPS transforms complex market and pricing data into high-quality, reliable investment insights used by risk experts, portfolio managers, and decision makers across Allianz Group.

As a Financial Data Platform Engineer, you will play a key role in developing, modernizing, and operating GRIPS end to end, covering data pipelines, data marts, APIs, core data assets, and application services. Your work will help ensure that time-critical financial information remains accurate, traceable, performant, and available for downstream systems and business-critical decisions.
Beyond implementation, you will have the opportunity to act as a solution-oriented owner, actively shaping the platform architecture, strengthening engineering quality, and evolving a data-intensive environment together with business analysts, developers, and quantitative experts.

You will translate financial, analytical, and regulatory requirements into scalable data solutions and contribute to a modern platform that combines operational robustness with innovation, automation, and long-term maintainability.
This role also offers the opportunity to shape the future of GRIPS by exploring and implementing AI-driven solutions, automation approaches, and advanced analytics capabilities in a highly data-intensive environment.

• Develop, maintain, and optimize GRIPS database schemas in Oracle Database and PL/SQL, including bitemporal historization, market data interfaces, and interfaces to downstream consumer applications.
• Develop and maintain the internal GRIPS Python application, including the user interface, orchestration framework, and related backend services.
• Design, build, and operate reliable ETL pipelines, data marts, and API-based data interfaces for complex financial and market data.
• Take end-to-end ownership for solution design, implementation, operation, and continuous improvement across the GRIPS platform landscape.
• Evolve and modernize existing components into efficient, maintainable, and future-ready Python and PL/SQL-based solutions with a strong focus on performance, stability, and long-term platform quality.
• Collaborate closely with clients, business analysts, developers, and quantitative experts to translate financial and regulatory requirements into scalable technical solutions.
• Define and apply software development best practices across the full delivery lifecycle, including clean code, testing, documentaion, CI/CD, and operational readiness.
• Support operational and analytical initiatives such as historical time-series recalculations, data quality improvements, and platform performance optimization.
• Identify and implement AI-driven solutions, automation opportunities, and advanced analytics capabilities that create measurable value for GRIPS and its users.

Technology Stack

• Core engerneering: Python, Oracle Database, SQL, PL/SQL, data modelling, clean code, and software architecture
• Data platform: ETL pipelines, data marts, market data integration, large financial datasets, bitemporal data structures, and data quality frameworks
• Integration and operations: REST APIs, Apache Airflow, CI/CD, Git, Linux, Docker, and cloud or container-based environments
• Innovation layer: automation, advanced analytics, machine learning, and AI-driven solution approaches

• University degree in Computer Science, Mathematics, Finance, Engineering, or a comparable field
• Several years of professional experience in software engineering, data engineering, or the development of data-intensive applications
• Strong hands-on experience with relational databases, SQL, and database concepts; experience with Oracle and PL/SQL is highly relevant
• Solid understanding of data modelling, data transformation, and reliable data pipelines or analytical data platforms
• Ability to design maintainable solutions and contribute to architecture decisions in a…