The Risk Intelligence and Knowledge Systems (RIKS) unit is part of the Life & Health division, serving as a regional analytics centre for Europe, UK, and Latin Americas. The overall department is responsible for AI strategy development and execution, biometrics insights, and knowledge modelling for more than 40 markets, 500+ cedents, and 1,500+ active reinsurance contracts. We strategically invest in scalable, easy-to-use data and knowledge technologies to create and operationalize high-quality products and services using structured and unstructured data, serving both internal and external clients. We believe that better data and advanced analytics can strengthen our reinsurance core and will be the foundation for the business models of tomorrow.Do you sit at the intersection of actuarial thinking and data engineering? Do you understand what seriatim data is, why portfolio preparation matters, and how to turn messy cedent data deliveries into reliable, analytics-ready assets? We are looking for a motivated individual to join RIKS as a Data Engineer, based in Madrid. You will own the preparation, engineering, and quality assurance of Life & Health reinsurance data – from raw cedent input to structured portfolio – supporting business transformation of pricing, underwriting, experience studies, and valuation functions across our regional markets.Your JobReceive, validate, and prepare cedent data deliveries (seriatim and summarised portfolio data as an example), applying domain knowledge to assess completeness, plausibility, and fitness for downstream analysisDesign and implement ETL/ELT pipelines that automate the ingestion, transformation, and loading of recurring and ad-hoc data deliveries into our data platformPrepare and structure portfolio datasets for consumption by pricing, underwriting, claims, experience studies, and valuation teams; ensure data is accurate, well-documented, and traceableBuild and maintain data infrastructure on Azure and Databricks, including pipelines, data models, and orchestration workflows supporting actuarial and analytics workloadsPerform exploratory data analysis on incoming data to detect anomalies, outliers, and quality issues; communicate findings clearly to business stakeholdersContribute to automation and standardization of data preparation workflows, reducing manual effort and turnaround time for cedent onboarding and data refresh cyclesCollaborate with actuaries, underwriters, and data scientists to understand data requirements and translate them into robust, reusable engineering solutionsTake ownership of data stewardship for the portfolio data domain: quality standards, data dictionaries, lineage documentation, and archivingYour ProfileSolid understanding of Life & Health reinsurance data, familiarity with seriatim data structures, portfolio preparation, and the reinsurance functions that consume them (pricing, experience studies, valuation, claims)Background in informatics, engineering, or actuarial sciences, or a comparable quantitative disciplineHands-on experience in data engineering: building ETL/ELT pipelines, working with large structured datasets, and delivering production-quality data outputsProficient in R as a primary language (with transition path towards Python) and SQL; experience with Databricks is an advantageExperience with Azure data services (Azure Data Factory, Data Lake, Synapse, or comparable) is a plusStrong analytical mindset, comfortable performing exploratory data analysis and communicating data quality findings to non-technical audiencesPractical experience with reporting or BI tools (Power BI, R Shiny, or similar) is welcomeStructured, rigorous, and delivery-focused. You understand that data quality in reinsurance has real downstream consequencesComfortable working in distributed, international teams; able to engage directly with cedents and internal clients on data mattersFluent in English (written and spoken); Spanish and/or German are a plusAbout UsAs the world's leading reinsurance company with more than 16,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation.Sounds like you? Push boundaries with us and be part of Munich Re.Our employees are our greatest strength. That’s why we offer them a wide range of benefits. You can find some examples below.Unlock your potentialDiversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.Rewards & RecognitionCompetitive salary: appropriate compensation for your high level of commitment.Retirement provision: state of the art in-house pension solutions.Work-life balance: promoting the compatibility of family and work in addition to overall work-life balance.Health management: focus on your physical and mental health far beyond legal requirements.Hybrid working: living the best of both worlds – we offer you a very flexible approach.Diversity, Equity & InclusionAt Munich Re, Diversity, Equity, and Inclusion foster innovation and resilience and enable us to act braver and better. Embracing the power of DEI is at the core of who we are. We recognise diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.
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