# VP - Data Engineering - Asset Management at M&G

M&G is hiring a VP - Data Engineering - Asset Management in Pune, India. Level rates it Little AI ●○○○; you can [apply on M&G](https://jobsbylevel.com/go/17f6bc1a-ea7c-452d-a2c8-7302a21f0791?utm_medium=ai-agent).

AI Level 1, AI centrality 20 out of 100. Pune.

## Details

- Company: [M&G](https://jobsbylevel.com/companies/m-g)
- AI level: AI Level 1 (score 20 out of 100)
- Location: Pune
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/17f6bc1a-ea7c-452d-a2c8-7302a21f0791?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=vp-data-engineering-asset-management-at-m-g-e3c0bf

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/vp-data-engineering-asset-management-at-m-g-e3c0bf

## Description

About M&G India We are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune. Our teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues. Grounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business. About M&G Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions. Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. • To work collaboratively with colleagues and take personal accountability to maintain and enhance controls you are responsible for to support improvement of the overall control environment, customers outcomes and a reduction in M&G plc's operational risk. • Hands-on engineering – Personally design, build and review data pipelines, transformations, models, APIs and data services on Azure and Snowflake, retaining deep hands-on involvement in the most complex or highest-risk engineering work. • Hands-on engineering – Own the technical design and build of ingestion, curation and serving layers using Snowflake for data storage, curation, provisioning, secure sharing and consumption. Working knowledge of Azure SQL, Azure Data Lake Storage, Azure Data Factory and Azure Databricks is desirable to move workloads to Snowflake as appropriate. • Hands-on engineering – Optimise platform performance and cost, including Snowflake warehouse sizing, query tuning, clustering, caching, Databricks cluster configuration and pipeline efficiency, with clear, measurable outcomes. • Hands-on engineering – Lead root cause analysis of complex production failures and data-quality incidents, implementing sustainable corrective actions rather than tactical fixes. • Hands-on engineering – Set and enforce engineering standards for coding, data modelling, testing, version control, code review, documentation, security and release management. • Leadership – Lead, coach and develop the data engineering team, setting clear expectations, objectives and development plans, and actively raising technical depth and engineering maturity. • Leadership – Raise the engineering bar through structured code review, pairing, technical forums, reusable patterns, internal tooling and a strong culture of craftsmanship and peer challenge. • Leadership – Own skills planning and succession for the engineering team, including recruitment, onboarding, capability uplift and reduction of key-person dependency. • Leadership – Plan and manage engineering delivery across parallel workstreams, providing clear visibility of progress, capacity, risks, dependencies and technical debt. • Leadership – Drive DataOps and automation, including CI/CD, infrastructure-as-code, automated data-quality and regression testing, environment management and controlled release, to improve delivery speed and reduce toil. • Platform – Contribute meaningfully to the advancement of the Asset Management data platform, shaping architecture, technology choices, platform roadmap and engineering strategy in partnership with the UK Head of Data Engineering and Architecture. • Platform – Champion data product and data mesh engineering patterns, including domain-aligned pipelines, data contracts, schema evolution, reusable transformation frameworks and self-serve data

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/vp-data-engineering-asset-management-at-m-g-e3c0bf

Source: https://jobsbylevel.com/jobs/vp-data-engineering-asset-management-at-m-g-e3c0bf

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