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