Salary: £51,000 - 51,000 per year Requirements: 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 Data Vault (DV 2.0) modelling (desirable) Data governance tools (e.g. Alation) (desirable) Azure Data Lake, Delta Lake, Redis (desirable) CI/CD using GitHub Actions or Azure DevOps (desirable) Monitoring and observability for data platforms (desirable) 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 Technologies: Airflow AWS Azure CI/CD Cloud Data Vault Data Warehouse DevOps ETL Git GitHub Support Python Redis SQL Snowflake Terraform dbt More: We are looking for experienced Senior Data Engineers to join our large-scale retail data transformation programme in London. This is a hybrid role with a minimum requirement of 2 days per week onsite. You will work on modern cloud data platforms, building robust, scalable data pipelines that power analytics, reporting, and downstream data products. We offer a long-term, well-funded programme with a strong team environment and a modern data stack. last updated 23 week of 2026