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About the Role

As Head of Data Engineering, you will lead a growing data engineering team and own the ingestion, transformation, and delivery of data. You will transition the firm from fragmented, pipeline-by-pipeline delivery to a modern, governed architecture built around data products, utilizing modern data technologies to design scalable solutions that deliver real business outcomes.

Responsibilities

Shape a modern data platform.
Own the design, build and optimisation of ingestion, transformation and data provisioning on our Snowflake-centric platform.
Implement a medallion architecture, with clear standards for promoting data from raw to curated to consumption-ready layers.
Set data engineering standards for ELT patterns, orchestration, data modelling, testing, DataOps, CI/CD for data pipelines and observability.
Build reusable ingestion, transformation and consumption patterns that speed up access to new data for the business.
Take a pragmatic, outcome-led approach, balancing the right data architecture with early business value.
Deliver governed, trusted data products.
Make data cataloguing, data quality, lineage and data observability core parts of how every data product is built and run.
Include data contracts, metadata and certification standards in every data product.
Ensure data products and pipelines are secure and compliant by design.
Build and lead a high-performing data engineering team.
Lead, inspire and mentor data engineers across the UK and India, and set the standard for how we deliver.
Develop the team through regular coaching, clear career pathways and meaningful opportunities.
Shift the team's focus from building individual pipelines to delivering reusable data products.
Build AI-ready data and bring AI into data engineering.
Partner with Data Product, Analytics and AI teams to implement semantic models.
Apply AI across data engineering, from data quality monitoring and anomaly detection to automated documentation and AI-assisted code.
Simplify the estate and retire legacy platforms.
Lead the technical migration from legacy data platforms and point-to-point data feeds onto the strategic platform.
Consolidate duplicated pipelines and fragmented data stores into a smaller set of trusted, reusable data products.
Reduce technical debt and keep the data estate simple, supportable and cost-efficient.
Build cost awareness into data engineering by designing efficient pipelines and data products and by optimising compute and storage costs.

Requirements

Significant experience in data engineering, including experience leading data engineering teams within Asset Management or Financial Services.
Hands-on experience leading Snowflake platform implementation, ideally in an asset management setting.
Deep technical knowledge of modern data platform architecture, including medallion and lakehouse patterns, ELT and dimensional or domain data modelling.
A track record of designing and delivering data products, including semantic layer implementation for AI and analytics use.
Practical experience embedding data governance tooling into delivery, covering data catalogue, data quality, lineage and data observability.
Strong understanding of cloud security, data privacy, access management and regulatory control requirements.
Track record of collaborating and building effective relationships with colleagues across data and wider technology function.
Experience leading and developing offshore engineering teams as an integrated part of the function.
Experience working in data mesh or hub-and-spoke data operating models.
Good understanding of investment data, such as instruments, portfolios, positions and performance, with deeper asset management experience a strong advantage.
Experience leading complex data platform migrations and the controlled retirement of legacy platforms while maintaining service continuity.

Skills

Snowflake, including Snowpipe, Streams and Tasks, Dynamic Tables and Snowpark
Azure, with Databricks exposure an advantage
Advanced SQL
Python
Data transformation frameworks such as dbt
Data pipeline orchestration
DataOps / CI/CD for data
Streaming
CDC and event-driven integration
API, data sharing and consumption patterns
Performance engineering
FinOps
Data catalogue tooling
Data quality tooling
Data lineage tooling
Data observability tooling
AI-assisted data engineering tools
Data quality monitoring tools

Location

London

Work Type

Flexible working arrangements

Experience Level

Integration Leader

Benefits

Pension scheme of up to 18%
Share Save and Share Incentive Plan
Financial wellbeing and support services
38 days annual leave (including bank holidays)
Opportunity to purchase up to five extra days of leave
Time Off When You Need It policy
Inspiring Families policy
Comprehensive support and paid parental leave
Private Healthcare
Critical Illness cover
Life Assurance
Additional family options for Health & Protection cover

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