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# Financial Data Platform Engineer

- **Company:** Allianz
- **Location:** Austria
- **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 Engineering, PL-SQL, SQL Databases, Backend, Git, Core Data, Information Technology, Api Design, Restful APIs, Data Pipelines, Docker, Service Stack, Programming Languages
- **Published:** October 20, 2026
- **Apply:** https://itjobsaustria.at/u/jobs/submit-application/14016/Financial-Data-Platform-Engineer-GRIPS-m-f-d?contact_mail=julia.roebke%40allianz.de&job_title=Financial+Data+Platform+Engineer+-+GRIPS+(m%2Ff%2Fd)

## 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

## Description

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., * 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
Required