103055 | IT & Entwicklung | Berufserfahren | keine Angabe | IDS | Vollzeit | Dauerhaft
## JOB PURPOSE/ROLE
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.
## KEY RESPONSIBILITIES
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.
## KEY REQUIREMENTS/SKILLS/EXPERIENCE
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
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
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. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Great to have you on board.…
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