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