Lead Data Engineer, M&G
Snowflake-Centric Data Platform
Salary not provided
+ Access to our Share Save and Share Incentive Plan
SQL
Python
Azure
Snowflake
Git
dbt
Azure Databricks
Senior and Expert level
London
International savings and investments company
Posted today
International savings and investments company
1001+ employees
B2CB2BEnterpriseInvestingFinancial Services
Posted today
Salary not provided
+ Access to our Share Save and Share Incentive Plan
SQL
Python
Azure
Snowflake
Git
dbt
Azure Databricks
Senior and Expert level
London
1001+ employees
B2CB2BEnterpriseInvestingFinancial Services
Company mission
To help people manage and grow their savings and investments, responsibly.
Role
Who you are
- 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. You should be able to share ownership, manage dependencies and agree joint priorities
- 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
- 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
What the job involves
- Data and AI are at the heart of how we plan to grow our Asset Management business
- We are modernising how data is sourced, engineered and consumed across the firm
- The goal is trusted, reusable data products that support investment decisions, client reporting, regulatory submissions and a growing range of AI use cases
- As Lead Data Engineer, you will report to the Head of Data Engineering and 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
- We want an engineer who still builds, sets the bar for engineering quality and can guide others through complex design decisions
- You will be the bridge between our data engineering standards and day-to-day delivery, making sure what we build is scalable, governed and delivers real business outcomes
- Design and build on a modern data platform:
- 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, working with the Head of Data Engineering
- Engineer governed, trusted data products:
- Build data quality checks, lineage, cataloguing and data observability into every pipeline and data product from the start, rather than adding them after delivery
- 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
- Lead and develop data engineers:
- 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
- Build AI-ready data and use AI in engineering:
- 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
- Simplify the estate and retire legacy platforms:
- 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
- Why Join Us:
- This is a chance to help build a modern data engineering practice at a pivotal moment for the business. You will be hands-on with the platform and data products at the centre of our data and AI ambitions, while growing your own technical leadership
- You will see the direct impact of your work on how we invest, serve our clients and operate. If you want to lead from the front, build great data products and help grow a strong team, this is the role
Application process
- End Date: November 28, 2026
Salary benchmarks
Our take
Established through a merger with Prudential's UK and Europe operation in 2017, M&G has emerged as a leading savings and investment company. Combining five prominent brands under one umbrella - M&G Real Estate, M&G Investments, Pru, M&G Wealth, and Infracaptial - the company boasts a robust global financial services operation.
M&G's commitment to enhancing its platform's offerings is evident through substantial investments in service and support infrastructure. Innovations such as deep back-office integration, cloud-based customer relationship management tools, and e-signature software underscore the company's dedication to providing top-notch solutions.
Catering to a diverse clientele ranging from individuals to major enterprises, M&G continues to expand its international presence. It reported an impressive £1.8 billion in flows from open business in 2025, and continues to diversify and leverage advancements in AI and Big Data. This approach should help the company maintain its position as a key player in the ever-evolving landscape of savings and investment.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Company benefits
- 8% non-contributory pension plus up to 5% matching
- Life Assurance & Death in Service
- Support, feedback and development programmes to help you reach your full potential
- Flexible culture and ways of working
- Focus on health & wellbeing
- 30 days holiday as standard (excluding bank holidays), with the ability to purchase an additional 5 days
- Time off when you need it includes carer's leave, faith leave, grandparent leave and career breaks
- New parents receive up to 26 weeks of full pay while on leave
- 4-week back-to-work transition for new parents: work 80% of your contractual hours, be paid for 100%
- New parents can take family leave in flexible blocks within the first year of birth/adaoption
Company HQ
City of London, London, UK
Leadership
Andrea Rossi
(Group CEO)Co-Founder & Director at REsustain. Former CEO of AXA, and was an FC Girondins de Bordeaux Board Member.
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