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Royal London seeks a Senior Data Modeller to join the Core Engineering Team within its Group Data & AI Office. You will turn complex data into well-governed data products powering analytics, reporting and AI. Hybrid role with 50% from home, 50% in the office, Alderley Park or Glasgow.
Responsibilities include analysing data, integrating with data models, maintaining standards and producing source-to-target mappings. Experience with cloud data services and industry data modelling is essential.
We have an exciting opportunity for a Senior Data Modeller to join our Core Engineering Team within Royal London’s Group Data & AI Office. You’ll help us turn complex data into trusted, well-governed data products that power analytics, reporting and AI across the business.
In this role you’ll analyse and understand data, integrate it with existing data models and data products, and help maintain clear modelling and naming standards. You’ll also support metadata management and create source-to-target mapping documentation using industry-standard tools.
The Royal London Enterprise Data Model (EDM) is a valuable data asset hosted on our cloud-based Enterprise Data Platform, forming the core data in our Databricks Lakehouse medallion architecture. You’ll support the integration of new data and the ongoing maintenance, optimisation and expansion of the EDM and associated data products. The outcome is to build a critical mass of high-value, consumable customer, product and proposition data assets designed to scale for analytics, BI, reporting, data science and AI use cases.
We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services.
OurPeople Promiseto our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values;Empowered, Trustworthy, Collaborate, Achieve.
We’re aninclusiveemployer, and we welcome applications from everyone. We celebrate and value different backgrounds, experiences and cultures - they help us build better products and make better decisions.