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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Financial Data Platform Engineer - GRIPS - **Company:** Allianz SE - **Location:** München, Germany - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Data Analysis, Application Services, Big Data, C++ (Programming Language), Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Structures, Relational Databases, Database Theory, Linux, Human-Computer Interaction, Python (Programming Language), Machine Learning, Oracle Databases, Oracle (Applications), Performance Tuning, Software Architecture, Software Engineering, PL-SQL, SQL Databases, Backend, Git, Core Data, Information Technology, Api Design, Restful APIs, Data Pipelines, Docker, Service Stack, Programming Languages - **Published:** August 10, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=b2b79de4f0662dab ## About the Role * 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 complex, business-critical platform environment * Structured, solution-oriented working style with strong ownership, communication skills, and the ability to translate business requirements into scalable technical solutions * Interest in financial markets, risk parameters, and investment data; extensive quantitative finance knowledge is not required * Fluent in English; German language skills are a plus Desired * Experience with financial market data, pricing data, valuation concepts, or regulatory reporting * Practical experience with Python or comparable programming languages, REST APIs, Apache Airflow, Docker, Linux, cloud platforms, or container-based environments; Python is ideal * Knowledge of C++, QuantLib, Python/C++ integration patterns, or similar quantitative and analytical technology stacks * Interest in applying machine learning, AI, and advanced analytics to real business and data platform challenges ## Description JOB PURPOSE/ROLEJoin 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., * 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 ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023) - [Where to Find German Tech Jobs](https://www.wearedevelopers.com/magazine/366-where-to-find-german-tech-jobs) - [Fullstack developer salary in Germany [2023]](https://www.wearedevelopers.com/magazine/197-fullstack-developer-salary-in-germany-2023) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany)