Data Engineering and Operations Advisor 1
At a glance
Highlights
- Private medical insurance
- Gym membership
- Health & wellbeing programme
- Paid volunteer time
- Cycle to work scheme
Why this role might suit you
The role offers a chance to shape enterprise data models for health services, collaborating with senior data leaders while leveraging expertise in clinical terminologies and governance within a well‑benefited Indian office.
Skills
About the role
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
Cycle to work scheme, Paid volunteer time, Employee mentoring programme, Private medical insurance, Financial planning services, Referral programme, Company pension, Additional leave, Health & wellbeing programme, Private dental insurance, Gym membership, Free flu jabs
Questions about this role
How do I apply to this Data Engineering and Operations Advisor 1 role at Bupa?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Data Engineer in India?
Compensation for Data Engineer roles in India varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for India medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does Bupa use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.