Financial Data Platform Engineer - GRIPS (m/f/d)
Allianz SE3 months ago
Munich, GermanySenior
Responsibilities
- Develop, maintain, and optimize GRIPS Oracle Database and PL/SQL schemas, including bitemporal historization and market data interfaces.
- Develop and maintain the internal Python application, user interface, orchestration framework, and backend services.
- Design, build, and operate ETL pipelines, data marts, and REST API-based interfaces for complex financial and market data.
- Own solution design, implementation, operation, and continuous improvement across the GRIPS platform.
- Modernize Python and PL/SQL components with a focus on performance, stability, maintainability, and platform quality.
- Translate financial and regulatory requirements into scalable technical solutions with clients, analysts, developers, and quantitative experts.
- Apply software development practices including clean code, testing, documentation, CI/CD, and operational readiness.
- Support time-series recalculations, data quality improvements, and platform performance optimization.
- Identify and implement AI-driven solutions, automation opportunities, and advanced analytics capabilities.
Requirements
- University degree in Computer Science, Mathematics, Finance, Engineering, or a comparable field.
- Several years of professional experience in software engineering, data engineering, or data-intensive application development.
- Strong hands-on experience with relational databases, SQL, and database concepts; Oracle and PL/SQL experience is highly relevant.
- Understanding of data modeling, data transformation, reliable data pipelines, or analytical data platforms.
- Ability to design maintainable solutions and contribute to architecture decisions in complex, business-critical environments.
- Structured, solution-oriented working style with ownership and communication skills.
- Ability to translate business requirements into scalable technical solutions.
- Interest in financial markets, risk parameters, and investment data.
- Fluent English; German language skills are a plus.
- Experience with financial market data, pricing data, valuation concepts, or regulatory reporting is desired.
- Practical experience with Python or comparable programming languages, REST APIs, Apache Airflow, Docker, Linux, cloud platforms, or container-based environments is desired.
- Knowledge of C++, QuantLib, Python/C++ integration patterns, machine learning, AI, or advanced analytics is desirable.
Benefits
- Full-time, permanent position.
- Opportunity to shape a key Allianz Group analytics platform and work on AI, automation, and advanced analytics initiatives.
- Inclusive and equal-opportunity work environment with support for employee growth and development.
About Allianz SE
Allianz SE is a Munich-based public company that provides property-casualty, life and health insurance, and asset management to individuals and businesses worldwide. It earns premiums and investment-management fees, operating through brands such as Allianz Commercial and asset managers including PIMCO and Allianz Global Investors. Founded in 1890 and listed on the Frankfurt Stock Exchange, it serves over 100 million customers in about 70 countries.