Snowflake Lead Engineer - Hybrid, Client-Facing, Mentoring

Peaple Talent Ltd

Milton Keynes

Hybrid

GBP 60,000 - 65,000

Full time

33 hours ago
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Benefits offered by this job

Hybrid working

Job summary

Peaple Talent Ltd is seeking an experienced Senior Data Engineer in Milton Keynes for a hybrid role. You’ll design and build data pipelines on Snowflake/dbt, lead architecture decisions, and guide engineers while engaging with clients to translate complex data problems into practical solutions.

You will mentor mid-level and junior engineers, raise the bar on testing, CI/CD, and data quality, and contribute to a UK team that collaborates with a global data and AI consultancy.

Qualifications

  • 4+ years’ commercial data engineering experience.
  • Strong hands-on Snowflake experience, ideally alongside dbt.
  • Deep SQL and solid data modelling, with dimensional modelling, ELT and production pipelines in your bag.
  • Confident in front of clients and stakeholders, with ability to explain complex ideas simply.
  • Experience guiding or mentoring other engineers, formally or informally.

Responsibilities

  • Designing and building data pipelines, models and transformation layers on Snowflake and dbt for client projects.
  • Making the key technical calls on architecture, data modelling and engineering standards.
  • Leading client conversations: understanding their problems, shaping the solution and explaining technical decisions in plain English.
  • Mentoring and supporting the mid-level and junior engineers in the team, through code reviews, pairing and guidance.
  • Raising the bar on testing, CI/CD, documentation and data quality across projects.
  • Working across a varied client base, sharing what you learn with the wider practice.

Skills

Snowflake
dbt
SQL
Data modelling
Client mentoring
Architectural decisions

Tools

Databricks
Fabric

Job description

Peaple Talent Ltd is seeking an experienced Senior Data Engineer in Milton Keynes for a hybrid role. You’ll design and build data pipelines on Snowflake/dbt, lead architecture decisions, and guide engineers while engaging with clients to translate complex data problems into practical solutions.

You will mentor mid-level and junior engineers, raise the bar on testing, CI/CD, and data quality, and contribute to a UK team that collaborates with a global data and AI consultancy.

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