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Data Engineering and Operations Advisor 1

Actively Reviewing

Bupa Capability Centre - India

Gurugram Full-Time 4–8 yrs exp Posted 1 month ago · Apply by Aug 4, 2026

Job Description

Job Description

Roles & Responsibilities

Design and maintain data models that support analytics, reporting, and operational use cases across Health Services.
Optimise data models for performance, ensuring they are scalable, efficient, and meet the needs of data scientists, analysts, and downstream consumers.
Develop and evolve Silver and Gold data layers, embedding holistic business logic and enabling consistent, reusable data assets across the organisation.
Collaborate with data engineers to ensure accurate ingestion, transformation, and representation of data within the models.
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

Proven experience in designing and maintaining conceptual, logical, and physical data models.
Strong understanding of data modelling principles, relational databases, and

performance optimisation techniques.

Proficiency in SQL and data modelling tools.
Experience working with data engineers to ensure accurate ingestion and transformation of data.
Ability to optimise models for analytical performance and usability by data scientists and analysts.
Familiarity with developing and managing Silver and Gold data layers to support scalable, reusable data assets.
Excellent documentation skills, including data dictionaries and metadata repositories.
Strong collaboration and communication skills, with the ability to work across technical and non-technical teams.
Previous experience in healthcare or clinical industries, or a strong understanding of operational and customer contexts in Health Services.
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)
Understanding of data governance, privacy, compliance, and regulatory principles and considerations in healthcare.and enterprise data standards.
Translate complex data requirements into structured models that support data-led transformation and enable actionable insights.
Document data models, metadata, and data dictionaries to support transparency, governance, and cross-functional understanding.
Ensure alignment with enterprise data strategy, governance frameworks, and innovation initiatives, acting as a bridge between Health Services and the wider CDAO function.
Contribute to continuous improvement by evaluating new tools, techniques, and best practices in data modelling and architecture.
Lead the development and adoption of enterprise-wide data modelling standards and reusable patterns.
Ensure alignment of data models with enterprise data strategy, governance frameworks, and business transformation goals.
Mentor junior data modellers and analysts and lead design reviews to ensure modelling consistency and quality