{"id":1858131,"url":"https://alion.io/job/allianz-financial-data-platform-engineer-grips-mfd-2","title":"Financial Data Platform Engineer - GRIPS (m/f/d)","company":{"id":1757325,"name":"Allianz","domain":"allianz.com","url":"https://alion.io/company/allianz-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":136,"ghost_share":0,"stale_share":0.007,"repost_share":0.066,"time_to_fill_p50_days":14,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":135000,"period":"year","method":"role_country_seniority_unknown","sample_n":61},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"C++","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-03T20:47:08Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"103055 | IT & Entwicklung | Berufserfahren | keine Angabe | IDS | Vollzeit | Dauerhaft\nJOB PURPOSE/ROLE\nJoin 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.\nAs 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.\nBeyond 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.\nYou 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.\nThis 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.\nKEY RESPONSIBILITIES\nDevelop, maintain, and optimize GRIPS database schemas in Oracle Database and PL/SQL, including bitemporal historization, market data interfaces, and interfaces to downstream consumer applications.\nDevelop and maintain the internal GRIPS Python application, including the user interface, orchestration framework, and related backend services.\nDesign, build, and operate reliable ETL pipelines, data marts, and API-based data interfaces for complex financial and market data.\nTake end-to-end ownership for solution design, implementation, operation, and continuous improvement across the GRIPS platform landscape.\nEvolve 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.\nCollaborate closely with clients, business analysts, developers, and quantitative experts to translate financial and regulatory requirements into scalable technical solutions.\nDefine and apply software development best practices across the full delivery lifecycle, including clean code, testing, documentaion, CI/CD, and operational readiness.\nSupport operational and analytical initiatives such as historical time-series recalculations, data quality improvements, and platform performance optimization.\nIdentify and implement AI-driven solutions, automation opportunities, and advanced analytics capabilities that create measurable value for GRIPS and its users.\nKEY REQUIREMENTS/SKILLS/EXPERIENCE\nTechnology Stack\nCore engerneering: Python, Oracle Database, SQL, PL/SQL, data modelling, clean code, and software architecture\nData platform: ETL pipelines, data marts, market data integration, large financial datasets, bitemporal data structures, and data quality frameworks\nIntegration and operations: REST APIs, Apache Airflow, CI/CD, Git, Linux, Docker, and cloud or container-based environments\n Innovation layer: automation, advanced analytics, machine learning, and AI-driven solution approaches\nRequired\nUniversity degree in Computer Science, Mathematics, Finance, Engineering, or a comparable field\nSeveral years of professional experience in software engineering, data engineering, or the development of data-intensive applications\nStrong hands-on experience with relational databases, SQL, and database concepts; experience with Oracle and PL/SQL is highly relevant\nSolid understanding of data modelling, data transformation, and reliable data pipelines or analytical data platforms\nAbility to design maintainable solutions and contribute to architecture decisions in a complex, business-critical platform environment\nStructured, solution-oriented working style with strong ownership, communication skills, and the ability to translate business requirements into scalable technical solutions\nInterest in financial markets, risk parameters, and investment data; extensive quantitative finance knowledge is not required\nFluent in English; German language skills are a plus\nDesired\nExperience with financial market data, pricing data, valuation concepts, or regulatory reporting\nPractical experience with Python or comparable programming languages, REST APIs, Apache Airflow, Docker, Linux, cloud platforms, or container-based environments; Python is ideal\nKnowledge of C++, QuantLib, Python/C++ integration patterns, or similar quantitative and analytical technology stacks\nInterest in applying machine learning, AI, and advanced analytics to real business and data platform challenges\nAllianz 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.\nWe 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.\nWe 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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