Lead Data Engineer, Retail Analytics & DataOps

Legal And General Group

Cardiff

On-site

GBP 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Performance bonus
Share schemes
Generous pension
Life assurance
Healthcare plan
25 days holiday
Electric car scheme

Job summary

Legal & General Group in Cardiff is seeking a Lead Data Engineer to join the Retail Analytics Data Hub. You will design, build and improve data solutions across retail domains, with hands-on leadership and collaboration with stakeholders.

You'll mentor engineers, advocate modern ELT patterns using Snowflake, Azure Data Factory and dbt Cloud, and help mature data pipelines, governance and release processes within an Agile/Scrum environment.

Qualifications

  • Extensive experience designing and building data pipelines.
  • Strong data modelling skills including Kimball concepts.
  • Experience with Snowflake, ADF and dbt Cloud in modern data platforms.

Responsibilities

  • Designing and building modern data solutions across the Retail Analytics Data Hub
  • Developing scalable data pipelines using ELT with Snowflake, ADF and dbt Cloud
  • Translating business requirements into technical specs, delivery plans and tasks
  • Leading data modelling activity including Kimball fact and dimension design
  • Supporting migration from legacy tooling towards Snowflake‑centred solutions
  • Working within Scrum teams to refine, plan and deliver data engineering work
  • Mentoring and coaching data engineers across the team
  • Improving standards, documentation, quality, governance and release processes

Skills

Data engineering
Data pipelines
Data modelling
Kimball modeling
Snowflake
Azure Data Factory
dbt Cloud
Agile/Scrum
Mentoring
Stakeholder communication

Tools

Snowflake
Azure Data Factory
dbt Cloud

Job description

Legal & General Group in Cardiff is seeking a Lead Data Engineer to join the Retail Analytics Data Hub. You will design, build and improve data solutions across retail domains, with hands-on leadership and collaboration with stakeholders.

You'll mentor engineers, advocate modern ELT patterns using Snowflake, Azure Data Factory and dbt Cloud, and help mature data pipelines, governance and release processes within an Agile/Scrum environment.

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