Data Engineering and Operations Advisor 1

Job Description: Roles & Responsibilities o Design and maintain data models that support analytics, reporting, and operational use cases across Health Services. o Optimise data models for performance, ensuring they are scalable, efficient, and meet the needs of data scientists, analysts, and downstream consumers. o Develop and evolve Silver and Gold data layers, embedding holistic business logic and enabling consistent, reusable data assets across the organisation. o Collaborate with data engineers to ensure accurate ingestion, transformation, and representation of data within the models. o Work closely with the Data Office, including the Head of Data, Data Science Lead, Data Governance Lead, and BI Team Leads, to align modelling efforts with strategic priorities . Qualifications, Training and Experience o Proven experience in designing and maintaining conceptual, logical, and physical data models. o Strong understanding of data modelling principles, relational databases, and performance optimisation techniques. o Proficiency in SQL and data modelling tools. o Experience working with data engineers to ensure accurate ingestion and transformation of data. o Ability to optimise models for analytical performance and usability by data scientists and analysts. o Familiarity with developing and managing Silver and Gold data layers to support scalable, reusable data assets. o Excellent documentation skills, including data dictionaries and metadata repositories. o Strong collaboration and communication skills, with the ability to work across technical and non-technical teams. o Previous experience in healthcare or clinical industries, or a strong understanding of operational and customer contexts in Health Services. o Experience of working with clinical data sets and ontologies to design data models for reporting and analytical use cases as well as a strong understanding of clinical terminologies and its application in health and clinical settings (e.g. ICD-10, FHIR, OMOP) o Understanding of data governance, privacy, compliance, and regulatory principles and considerations in healthcare.and enterprise data standards. o Translate complex data requirements into structured models that support data-led transformation and enable actionable insights. o Document data models, metadata, and data dictionaries to support transparency, governance, and cross-functional understanding. o Ensure alignment with enterprise data strategy, governance frameworks, and innovation initiatives, acting as a bridge between Health Services and the wider CDAO function. o Contribute to continuous improvement by evaluating new tools, techniques, and best practices in data modelling and architecture. o Lead the development and adoption of enterprise-wide data modelling standards and reusable patterns. o Ensure alignment of data models with enterprise data strategy, governance frameworks, and business transformation goals. o Mentor junior data modellers and analysts and lead design reviews to ensure modelling consistency and quality Time Type: Full time Job Area: Locations: Bupa Capability Centre India Bupa is a leading international healthcare company, established in 1947. We're developing the digital health solutions and services that will bring high-quality, affordable and accessible healthcare to millions more people around the world. Our values and culture drive results. We’re brave, caring and responsible, and our unstoppable spirit gets the job done ensuring we’re continually improving our business and customer experience. We’re building a world class centre in Gurugram which will become a sustainable engine for innovation, delivery and growth across Bupa. Our ambition is to be the world’s most customer centric healthcare organization and GCC has been established to help us create a world-class experience for our customers and employees. The GCC provides a unique opportunity to achieve this by co-locating process, software and technical teams, using established agile, continuous delivery, and product-based ways of working.