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

Allianz; München; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Allianz seeks a Financial Data Platform Engineer for GRIPS, a core analytics platform for risk parameters and yield curves. You will own data pipelines, data marts, APIs, and core assets, shaping architecture and automating processes in a data-intensive, AI-enabled environment.

You will translate financial and regulatory needs into scalable technical solutions, collaborating with analysts, developers, and quantitative experts to ensure robust, maintainable systems.

Qualifikationen

• University degree in Computer Science, Mathematics, Finance, Engineering, or a comparable field.
• Several years of professional software or data engineering experience on data-intensive apps.
• Strong SQL with Oracle/PLSQL; data modelling and reliable data pipelines.
• Ability to design maintainable solutions and contribute to architecture decisions.
• Structured, ownership-driven work style with clear communication.
• Interest in financial markets; English fluent, German a plus.

Aufgaben

• Develop, maintain, and optimize GRIPS database schemas in Oracle/PLSQL.
• Develop and maintain internal GRIPS Python app, UI, orchestrator, backend services.
• Build and operate ETL pipelines, data marts, and API data interfaces.
• Own solution design, implementation, operation, and continuous improvement.
• Modernize components for performance, stability, and long-term quality.
• Collaborate with clients, analysts, developers, and quantitative experts.
• Apply best practices across the delivery lifecycle including CI/CD and tests.

Kenntnisse

Python

Oracle Database

SQL

PL/SQL

Data modelling

Software architecture

REST APIs

CI/CD

Docker

Airflow

English fluent

Ausbildung

University degree in CS/Math/Finance/Engineering

Tools

Apache Airflow

Git

Linux

Cloud platforms

Jobbeschreibung

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
• Innovation layer: automation, advanced analytics, machine learning, and AI-driven solution approaches

Required

• 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