Data Engineer

We’re looking for a Senior Data Engineer to take technical ownership of an established data platform, ensuring data is reliably ingested, transformed and made available for reporting, analytics and business decision-making.

You’ll work closely with Software Engineering, Infrastructure, Product, Data Analysts and wider business stakeholders, with plenty of autonomy to improve and evolve the platform.

What You’ll Be Doing

• Own and evolve the data platform, including pipelines, transformations and warehouse architecture.
• Design, build and maintain reliable ETL/ELT pipelines and data models.
• Improve data quality, monitoring, testing, performance and reliability.
• Build trusted datasets for reporting, analytics and decision-making.
• Work closely with Data Analysts and Engineering teams.
• Identify technical debt and opportunities to improve the platform.
• Act as a technical point of contact for Data Engineering.
• Document key data flows, models and technical decisions.
• Provide technical guidance and support across the wider data function.

What We’re Looking For

• Strong commercial experience as a Data Engineer.
• Strong SQL and Python skills.
• Experience building and maintaining production data pipelines.
• Good understanding of data modelling and cloud data warehouses.
• Experience with modern ETL/ELT and data transformation tools.
• Strong understanding of Git, testing and deployment practices.
• Experience troubleshooting data quality and pipeline issues.
• Comfortable working with both technical and non-technical stakeholders.

Nice to Have

• Snowflake
• SQLMesh, dbt or similar
• dlt, Fivetran, Airbyte or similar
• Terraform, Pulumi or other Infrastructure as Code
• BigQuery and GA4
• Omni, Looker or similar BI platforms
• Product, subscription, ecommerce or marketing data experience

The Opportunity

This is a great opportunity for a Senior Data Engineer who wants genuine ownership of a data platform and the opportunity to influence its technical direction as it continues to grow.