Senior Data Engineer

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

• 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