Data Engineer MGA (Greenfield Build)

Data Engineer MGA (Greenfield Build)

Location: London (Hybrid typically 12 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.

Youll 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!