Data Engineer

Data Engineer

Hybrid (London) Azure Data Platform - Databricks / Fabric / Synapse - £50,000 - £90,000

Why Join This Company?

This is a business that genuinely invests in data, as a core part of how decisions are made. You will be joining a growing data engineering function where modern tooling, best practice, and technical ownership are taken seriously.

They have moved away from legacy approaches and are building out a clean, scalable Azure-based data platform, giving engineers the time and backing to do things properly. You will work alongside experienced engineers, analytics teams, and stakeholders who understand the value of well-engineered data.

It's the kind of environment where good engineers are listened to, progression is real and hybrid working works.

You'll Work With

• Designing, building, and supporting data pipelines using Azure Data Factory
• Developing high-quality, performant SQL for data transformation and modelling
• Working with modern analytics platforms such as Databricks, Microsoft Fabric, or Azure Synapse
• Ingesting data from multiple source systems into cloud-based data platforms
• Collaborating with BI, analytics, and data science teams to enable better insight
• Supporting production workloads and continuously improving reliability and performance
• Contributing to data engineering best practices, standards and automation

Benefits

• Salaries from £50,000 up to £90,000 (dependent on experience and level)
• Hybrid working model with a London base
• Modern, cloud-first Microsoft tech stack
• Clear progression opportunities across multiple seniority levels
• High technical ownership and influence over platform decisions
• Collaborative, engineering-led culture
• Competitive benefits package

Key Experience

Open to different levels of experience, but you should have:

• Strong experience with Azure Data Factory in a production environment
• Solid SQL skills for transformation, optimisation, and data modelling
• Experience with Databricks, Fabric, or Azure Synapse
• Background working with Azure-based data platforms
• A proactive mindset and the ability to work collaboratively across teams

Ready to Apply?

If you are considering a new data engineering role this year and want to work with modern technology in a genuinely forward-thinking environment, this is a great time to explore the opportunity.