Data Engineer

Data Engineer - London (Hybrid) - Azure - Databricks - Up to £65,000

This is a great opportunity to join an organisation that's investing in its data capability and using it to drive real change.

They're partway through a major technology and data transformation; data is becoming central to how decisions are made across the business. This role is one of the first dedicated Data Engineer positions, so you'll have real influence, not just building pipelines, but helping shape how data is structured, trusted and used going forward.

If you enjoy working on meaningful projects, improving how things are done and being part of a collaborative team that's building for the long term, this is the kind of environment that tends to appeal.

You will work with

• Building and maintaining enterprise-grade data pipelines across CRM, HR, Finance, and commercial systems
• Developing automated ETL/ELT pipelines using modern Azure tools
• Turning raw data into clean, reliable, analytics- and AI-ready datasets
• Working closely with data architects, analysts, and non-technical stakeholders
• Creating well-modelled datasets to support Power BI and wider analytics use cases
• Improving data quality, validation, monitoring, and performance
• Ensuring data is handled securely and in line with GDPR and best practice
• Helping lay the foundations for future AI and machine learning initiatives

What's on offer

• Opportunity to join at an introductory stage of a long-term data transformation
• High-impact role with visibility across the organisation
• Modern cloud data stack with strong investment in tooling
• Collaborative, supportive technology environment
• An 18-month FTC offering stability while working on meaningful, large-scale projects

Key experience

• 5+ years' experience in data engineering or backend data roles
• Strong SQL and Python skills
• Hands-on experience with Azure data services (ADF, Synapse, Databricks, Microsoft Fabric)
• Experience integrating data from enterprise systems (CRM, ERP, HR, Finance)
• A solid understanding of data modelling (star/snowflake schemas)
• Experience with CI/CD, version control, and monitoring in a data context
• Confidence working with both technical teams and business stakeholders
• A good understanding of data security and GDPR

Interested?

Apply now or send your CV directly to be considered.
Interviews are starting shortly and early applications will be prioritised.