Data Platform & AI Engineering Lead

M&G

City of Westminster

Hybrid

GBP 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Pension scheme up to 18%
Share Save and Share Incentive Plan
38 days annual leave + buy up to 5

Job summary

M&G is seeking a Head of Data Engineering to lead a growing team across London and India. You will own ingestion, transformation and delivery of data, building a modern, governed data platform centered on Snowflake.

You will drive medallion architecture, data products, and DataOps practices, delivering AI-ready data assets while reducing legacy platforms. Flexible working arrangements are considered.

Qualifications

  • Significant experience in data engineering, including leading data engineering teams within Asset Management or Financial Services.
  • Hands-on experience leading Snowflake platform implementation, ideally in an asset management setting.
  • Deep knowledge of modern data platform architecture, including medallion and lakehouse patterns, ELT and multidimensional data modelling.

Responsibilities

  • Lead the design, build and optimisation of ingestion, transformation and data provisioning on a Snowflake-centric platform.
  • Implement a medallion architecture with clear promotion 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.

Skills

Snowflake
Azure
Advanced SQL
Python
Data modeling
Data governance
Leadership
Offshore team management
Data mesh

Tools

dbt
CI/CD for data
DataOps
Snowflake features (Snowpipe, Streams, Tasks)

Job description

M&G is seeking a Head of Data Engineering to lead a growing team across London and India. You will own ingestion, transformation and delivery of data, building a modern, governed data platform centered on Snowflake.

You will drive medallion architecture, data products, and DataOps practices, delivering AI-ready data assets while reducing legacy platforms. Flexible working arrangements are considered.

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