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.