[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-financial-data-platform-engineer-grips-mfd-allianz-insurance-de-de":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":12,"featured_until":7,"is_active":13,"deactivated_at":7,"is_enriched":13,"processed_job_posting_json":14,"processed_latitude":79,"processed_longitude":80,"processed_employment_types":81,"processed_working_hours":82,"processed_working_hours_labels":84,"processed_home_office":85,"processed_salary_min":76,"processed_salary_max":77,"processed_salary_currency":73,"processed_salary_source":86,"processed_benefits":87,"processed_benefits_labels":88,"processed_industry":89,"processed_skills":7,"processed_job_location":90,"processed_full_address_gmaps":92,"processed_street_gmaps":93,"processed_city_gmaps":94,"processed_postal_code_gmaps":95,"processed_country_gmaps":97,"processed_country_iso_code_gmaps":99,"full_description":17,"formatted_description":100,"processed_employment_types_labels":35,"processed_home_office_labels":33,"processed_industry_labels":37,"processed_it_skills":101,"processed_it_skills_labels":105,"processed_soft_skills":106,"processed_soft_skills_labels":107,"processed_job_expertise_skills":108,"processed_job_expertise_skills_labels":109,"processed_language_requirements":110,"processed_total_experience_years":117,"processed_professional_field":118,"processed_professional_field_labels":121,"processed_leadership_role":12,"processed_date_posted":20,"raw_job_url":122,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":89,"canonical_industry_label":37,"max_cpc":123,"actual_cpc":7},70746,"financial-data-platform-engineer-grips-mfd-allianz-insurance","Financial Data Platform Engineer - GRIPS (m\u002Ff\u002Fd)",null,{"name":9,"slug":10,"logo_url":11},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",false,true,{"@context":15,"@type":16,"title":6,"description":17,"hiringOrganization":18,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":33,"employmentType":34,"industry":36,"skills":38,"baseSalary":71},"https:\u002F\u002Fschema.org\u002F","JobPosting","\u003Cp>103055 | IT & Entwicklung | Berufserfahren | keine Angabe | IDS | Vollzeit | Dauerhaft\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>JOB PURPOSE\u002FROLE\u003C\u002Fstrong>\u003Cbr>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.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>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.\u003Cbr>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.\u003C\u002Fp>\u003Cp>\u003Cbr>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.\u003Cbr>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.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>KEY RESPONSIBILITIES\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Develop, maintain, and optimize GRIPS database schemas in Oracle Database and PL\u002FSQL, including bitemporal historization, market data interfaces, and interfaces to downstream consumer applications.\u003C\u002Fli>\u003Cli>Develop and maintain the internal GRIPS Python application, including the user interface, orchestration framework, and related backend services.\u003C\u002Fli>\u003Cli>Design, build, and operate reliable ETL pipelines, data marts, and API-based data interfaces for complex financial and market data.\u003C\u002Fli>\u003Cli>Take end-to-end ownership for solution design, implementation, operation, and continuous improvement across the GRIPS platform landscape.\u003C\u002Fli>\u003Cli>Evolve and modernize existing components into efficient, maintainable, and future-ready Python and PL\u002FSQL-based solutions with a strong focus on performance, stability, and long-term platform quality.\u003C\u002Fli>\u003Cli>Collaborate closely with clients, business analysts, developers, and quantitative experts to translate financial and regulatory requirements into scalable technical solutions.\u003C\u002Fli>\u003Cli>Define and apply software development best practices across the full delivery lifecycle, including clean code, testing, documentaion, CI\u002FCD, and operational readiness.\u003C\u002Fli>\u003Cli>Support operational and analytical initiatives such as historical time-series recalculations, data quality improvements, and platform performance optimization.\u003C\u002Fli>\u003Cli>Identify and implement AI-driven solutions, automation opportunities, and advanced analytics capabilities that create measurable value for GRIPS and its users.\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>KEY REQUIREMENTS\u002FSKILLS\u002FEXPERIENCE\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Technology Stack\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Core engerneering:\u003C\u002Fstrong> Python, Oracle Database, SQL, PL\u002FSQL, data modelling, clean code, and software architecture\u003C\u002Fli>\u003Cli>\u003Cstrong>Data platform:\u003C\u002Fstrong> ETL pipelines, data marts, market data integration, large financial datasets, bitemporal data structures, and data quality frameworks\u003C\u002Fli>\u003Cli>\u003Cstrong>Integration and operations:\u003C\u002Fstrong> REST APIs, Apache Airflow, CI\u002FCD, Git, Linux, Docker, and cloud or container-based environments\u003C\u002Fli>\u003Cli>\u003Cstrong>Innovation layer:\u003C\u002Fstrong> automation, advanced analytics, machine learning, and AI-driven solution approaches\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>Required\u003C\u002Fp>\u003Cul>\u003Cli>University degree in Computer Science, Mathematics, Finance, Engineering, or a comparable field\u003C\u002Fli>\u003Cli>Several years of professional experience in software engineering, data engineering, or the development of data-intensive applications\u003C\u002Fli>\u003Cli>Strong hands-on experience with relational databases, SQL, and database concepts; experience with Oracle and PL\u002FSQL is highly relevant\u003C\u002Fli>\u003Cli>Solid understanding of data modelling, data transformation, and reliable data pipelines or analytical data platforms\u003C\u002Fli>\u003Cli>Ability to design maintainable solutions and contribute to architecture decisions in a complex, business-critical platform environment\u003C\u002Fli>\u003Cli>Structured, solution-oriented working style with strong ownership, communication skills, and the ability to translate business requirements into scalable technical solutions\u003C\u002Fli>\u003Cli>Interest in financial markets, risk parameters, and investment data; extensive quantitative finance knowledge is not required\u003C\u002Fli>\u003Cli>Fluent in English; German language skills are a plus\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>Desired\u003C\u002Fp>\u003Cul>\u003Cli>Experience with financial market data, pricing data, valuation concepts, or regulatory reporting\u003C\u002Fli>\u003Cli>Practical experience with Python or comparable programming languages, REST APIs, Apache Airflow, Docker, Linux, cloud platforms, or container-based environments; 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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.\n\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.\n\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.\n\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.\n\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.\n\n**KEY RESPONSIBILITIES**\n\n- Develop, maintain, and optimize GRIPS database schemas in Oracle Database and PL\u002FSQL, including bitemporal historization, market data interfaces, and interfaces to downstream consumer applications.\n- Develop and maintain the internal GRIPS Python application, including the user interface, orchestration framework, and related backend services.\n- Design, build, and operate reliable ETL pipelines, data marts, and API-based data interfaces for complex financial and market data.\n- Take end-to-end ownership for solution design, implementation, operation, and continuous improvement across the GRIPS platform landscape.\n- Evolve and modernize existing components into efficient, maintainable, and future-ready Python and PL\u002FSQL-based solutions with a strong focus on performance, stability, and long-term platform quality.\n- Collaborate closely with clients, business analysts, developers, and quantitative experts to translate financial and regulatory requirements into scalable technical solutions.\n- Define and apply software development best practices across the full delivery lifecycle, including clean code, testing, documentaion, CI\u002FCD, and operational readiness.\n- Support operational and analytical initiatives such as historical time-series recalculations, data quality improvements, and platform performance optimization.\n- Identify and implement AI-driven solutions, automation opportunities, and advanced analytics capabilities that create measurable value for GRIPS and its users.\n\n**KEY REQUIREMENTS\u002FSKILLS\u002FEXPERIENCE**\n\nTechnology Stack\n\n- **Core engerneering:** Python, Oracle Database, SQL, PL\u002FSQL, data modelling, clean code, and software architecture\n- **Data platform:** ETL pipelines, data marts, market data integration, large financial datasets, bitemporal data structures, and data quality frameworks\n- **Integration and operations:** REST APIs, Apache Airflow, CI\u002FCD, Git, Linux, Docker, and cloud or container-based environments\n- **Innovation layer:** automation, advanced analytics, machine learning, and AI-driven solution approaches\n\nRequired\n\n- University degree in Computer Science, Mathematics, Finance, Engineering, or a comparable field\n- Several years of professional experience in software engineering, data engineering, or the development of data-intensive applications\n- Strong hands-on experience with relational databases, SQL, and database concepts; 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