Data Engineer, Analytics Engineering, VP
NatWest Group (company site, opens in a new tab)15+ yrsGurugramOn-siteDirect career pageEst. 45–80 LPA
Posted 22d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and governance of complex cross-domain data models and trusted data products to align with enterprise and business objectives.
- Drive automation and embedding of advanced data engineering pipelines, including streaming data ingestion and transformations.
- Provide strategic and technical leadership in analytics engineering, setting standards, governance frameworks, and best practices for Personal Banking & Wealth Management (PBWM).
Minimum Requirements
- At least 15 years experience in Analytics Engineering, Data Architecture, Data Modelling, or related fields.
- Expertise in canonical and semantic data modelling, data product governance, and enterprise-scale analytics engineering using technologies like Snowflake and dbt.
- Experience with cloud-native analytical platforms on AWS including S3, Glue, Athena, IAM, and governance; knowledge of data governance frameworks and regulatory compliance such as GDPR.
- Work location must be in India; specific experience in Financial Services, ideally PBWM, preferred but not explicitly mandatory.
Ideal Candidate Profile
- Senior leader with deep technical expertise in analytical data architecture and hands-on experience in enterprise-scale, governed environments.
- Experienced in collaborating with business and technology stakeholders to align data strategy with regulatory, privacy, and governance requirements in Financial Services.
- Proven ability to establish DataOps practices, CI/CD pipelines, and drive innovation in analytics engineering within a large regulated organisation.