Senior Data Engineer

Farringdon, Greater London
2 months ago
Applications closed

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Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Role: Senior Data Engineer
Contract: 6 months
Location: London - EC1M (Hybrid – minimum 2 days per week onsite)
Rate: £425/day (Inside IR35)
Start: ASAP
Positions: 4

The Opportunity

We are looking for experienced Senior Data Engineers to join a large-scale retail data transformation programme. You’ll work on modern cloud data platforms, building robust, scalable data pipelines that power analytics, reporting, and downstream data products.

This is a hands-on role with strong exposure to Snowflake, DBT, cloud platforms (AWS/Azure) and modern engineering best practices. You’ll collaborate closely with architects, analysts, and business stakeholders, and play a key role in setting technical standards within the team.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines

  • Build and optimise data transformations using DBT and SQL

  • Implement and maintain data models (Data Vault experience highly desirable)

  • Monitor, troubleshoot, and optimise production data pipelines

  • Work with Snowflake to deliver high-performance analytics solutions

  • Collaborate with cross-functional teams to translate business requirements into technical solutions

  • Support data governance, data quality, and best engineering practices

  • Mentor junior engineers and contribute to technical decision-making

    Essential Skills & Experience

  • Strong hands-on experience as a Senior Data Engineer

  • Snowflake data warehouse experience

  • DBT for data transformation and modelling

  • Advanced SQL and Python

  • Experience building pipelines using Airflow (or similar orchestration tools)

  • Cloud experience on AWS and/or Azure

  • Infrastructure-as-code exposure (e.g. Terraform)

  • Git-based version control (GitHub, Azure DevOps)

  • Strong communication and stakeholder engagement skills

    Desirable Experience

  • Data Vault (DV 2.0) modelling

  • Data governance tools (e.g. Alation)

  • Azure Data Lake, Delta Lake, Redis

  • CI/CD using GitHub Actions or Azure DevOps

  • Monitoring and observability for data platforms

    Why Apply?

  • Hybrid working with limited onsite requirement

  • Long-term, well-funded programme

  • Modern data stack and real-world scale

  • Multiple positions available – strong team environment

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