/ANALYTICS ENGINEERING LEAD

ANALYTICS ENGINEERING LEAD

London, England, GBgbvia direct
// Job Type
Full Time
// Salary
GBP 85,000 - 85,000/year
// Salary Range
85,000–85,000 GBP / year
// Posted
3 weeks ago

About the Role

Lead Analytics Engineer
London (1 day a week in office)
Up to £85,000 plus up to 30% bonus

An established consumer business with a strong online presence is hiring a Lead Analytics Engineer to shape how data is modelled, governed and consumed across the wider business. Real ownership, real technical leadership, and a modern stack to build on.

The role
You'd sit within the Analytics Engineering team, working closely with the Analytics Engineering Manager but operating with a lot of autonomy. The role is domain led, meaning you'd take ownership across areas like customer, commercial and operations, shaping the definition and delivery of analytics engineering solutions end to end.
Not a line management role, but a genuine technical leadership one. You'd set the bar for modelling, testing, documentation and governance, mentor the wider team, and be the person other engineers look to on the harder architectural calls.

Tech stack
  • Snowflake, dbt, SQL, Python
  • Fivetran, Dagster, DataDog, Tableau
  • AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway
  • GitHub, Jira, Confluence

What we're looking for
  • Advanced SQL, genuinely at the top end for complex modelling and performance work
  • Deep hands on dbt experience, extensive scalable model design
  • Strong Snowflake experience including performance and cost optimisation at scale
  • Proven experience shaping analytics engineering at a business domain level
  • Python for automation and processing
  • Confident with stakeholder management across product, marketing, finance and data science
  • Comfortable operating independently and making calls in ambiguous environments
  • A mentor who takes real pride in raising the bar around them

What's on offer
  • Up to £85,000 base
  • Up to 30% bonus
  • 1 day a week in the London office
  • Modern, well invested data stack with genuine scope for impact

Drop me a message if it sounds like you.

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