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About the Role
As Lead Data Engineer, you will be the technical lead for designing and building data products on our Snowflake-centric platform. You will lead data engineers across London and India, turning our architecture and engineering standards into well-engineered, production-ready pipelines and data products. This is a hands-on technical leadership role where you will set the bar for engineering quality and guide others through complex design decisions.
Responsibilities
- Lead the hands-on design and build of ingestion, transformation and data provisioning pipelines on our Snowflake-centric platform.
- Apply the medallion architecture in practice, promoting data from raw to curated to consumption-ready layers in line with agreed standards.
- Translate business and data product requirements into robust technical designs, data models and delivery plans.
- Build and evolve reusable ingestion, transformation and consumption patterns, whether for BI, APIs, data sharing or AI.
- Help shape data engineering standards for ELT, orchestration, data modelling, testing, DataOps, CI/CD and observability.
- Build data quality checks, lineage, cataloguing and data observability into every pipeline and data product from the start.
- Implement data contracts, metadata and certification standards so each data product is discoverable, trusted and auditable.
- Apply security and compliance by design, including role-based access control, secrets management, encryption, data classification, retention and privacy controls.
- Make sure pipelines are production-ready, with clear monitoring, alerting and runbooks, and lead root-cause analysis and resolution of data issues.
- Provide day-to-day technical leadership to data engineers across the UK and India, setting clear priorities and removing blockers.
- Lead design reviews, code reviews and pairing to raise engineering quality and consistency across the team.
- Coach and mentor engineers, helping them grow their technical skills and shift from building individual pipelines to delivering reusable data products.
- Work with offshore engineers as one integrated team, with shared standards, ways of working and ownership.
- Work with Data Product, Analytics and AI teams to implement semantic models, ensuring business definitions and relationships are consistently represented in the engineered data products.
- Use AI-assisted tools across the engineering lifecycle, from code generation and testing to documentation and data quality monitoring, with appropriate human oversight.
- Lead the technical delivery of migrations from legacy data platforms and point-to-point data feeds onto the strategic platform, with data reconciliation and controlled cut-over.
- Consolidate duplicated pipelines into reusable data products and actively reduce technical debt.
- Design efficient pipelines and optimise compute and storage so cost efficiency is built into delivery.
Requirements
- Significant experience in data engineering, including experience as a technical lead within Asset Management or Financial Services.
- Strong hands-on experience building and optimising data pipelines and data products on Snowflake, ideally in an asset management setting.
- Solid knowledge of modern data platform architecture, including medallion and lakehouse patterns, ELT and dimensional or domain data modelling.
- Experience delivering data products end to end, including contributing to semantic layer implementation for analytics and AI use.
- Practical experience embedding data catalogue, data quality, lineage and data observability tooling into engineering delivery.
- Good understanding of cloud security, access management, data privacy and regulatory control requirements.
- Track record of collaborating and building effective relationships with colleagues across data and wider technology function.
- Experience leading and mentoring offshore engineering teams as an integrated part of the function, through code reviews, coaching and technical direction and a one-team culture.
- Experience working in data mesh or hub-and-spoke data operating models.
- Experience delivering data platform migrations, including data reconciliation and the controlled retirement of legacy feeds while maintaining service continuity.
- Good understanding of investment data, such as instruments, portfolios, positions and performance, with deeper asset management experience a strong advantage.
Skills
- Snowflake, including Snowpipe, Streams and Tasks, Dynamic Tables and Snowpark
- Azure, with Databricks exposure an advantage
- Advanced SQL and Python
- Data transformation frameworks such as dbt
- Data pipeline orchestration, Git-based CI/CD and DataOps
- Streaming, CDC and event-driven integration
- API, data sharing and consumption patterns
- Performance tuning and cost optimisation (FinOps)
- Data catalogue, data quality, lineage and data observability tooling
- AI-assisted coding and data quality monitoring tools
Location
- London
Work Type
- Flexible working arrangements
Experience Level
- Manager/Expert
Benefits
- A valuable pension scheme of up to 18% (13% employer contributions and 5% employee contributions).
- Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services.
- 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days.
- Time Off When You Need It policy.
- Market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave.
- Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options.
About the Company
- At 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.
Equal Opportunity
- At M&G we strive to have a diverse workforce and an inclusive culture, underpinned by our policies and employee-led networks that offer networking, support and development opportunities for the diverse communities our colleagues represent.
- We welcome applications from people of all backgrounds – across gender, ethnicity, age, disability, sexual orientation and more – including neurodivergent individuals, career returners and those with military service experience.
- M&G is proud to be Level 3: Disability Confident Leader under the UK Government Disability Confident employer scheme, and we welcome applications from candidates with disabilities and long-term health conditions.
- We are committed to providing an inclusive recruitment process.
- All candidates have the opportunity to request reasonable adjustments when applying.
- If you need any additional support at any stage, please contact us at: careers@mandg.com