Data Engineer – MGA (Greenfield Build)
Location: London (Hybrid – typically 1–2 days per month in office)
Package: £85k base + 15% bonus
The Opportunity
Our Client is building a brand-new data platform from the ground up for a fast-growing, tech-first insurer.
You’ll be joining a small but ambitious team and will play a pivotal role in shaping their entire data landscape, from infrastructure and pipelines to reporting and future data science initiatives.
The roadmap includes:
* Building sophisticated reporting solutions for the business
* Productionising algorithms into scalable reporting systems
* Laying the foundations for data science and ML initiatives already in the pipeline
Key Responsibilities
* Design, test, and deploy robust data pipelines for ingestion, transformation, and integration
* Build out scalable lakehouse architecture with Databricks
* Partner with analytics and business teams to deliver fit-for-purpose datasets
* Productionise algorithms into reporting systems
* Implement data quality and validation frameworks
* Create and maintain clear technical documentation
* Shape best practices and influence tech direction in a collaborative team environment
Skills & Experience
Essential:
* Proven experience (5+ years) as a Data Engineer, ideally building new platforms from scratch
* Hands-on with Databricks, dbt, and Azure data services
* Strong SQL and Python skills
* Track record of working with large-scale datasets and pipelines
* Excellent stakeholder engagement – comfortable in client-facing conversations
Desirable:
* Previous Insurtech or FinTech experience
* Certifications in Databricks or Azure Data Engineering (bonus)
Why Join?
✅ Greenfield build – huge influence on tech stack and direction
✅ High visibility – your work directly impacts decision-making
✅ Future-facing roadmap – exposure to data science & ML projects
✅ Small, collaborative team – autonomy with support
✅ Competitive package – £85k base + 15% bonus + flexible hybrid working
📩 Sound like you? Apply now!