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Arthur Recruitment

Data Engineer – MGA (Greenfield Build)

Liverpool Full-Time 51000 - 85000 £ / year (est.) Home office (partial)

At a Glance

Tasks: Design and build innovative data pipelines and scalable reporting systems.
Company: Fast-growing tech-first insurer with a collaborative culture.
Benefits: Competitive salary, bonus, flexible hybrid working, and impactful projects.
Why this job: Join a greenfield build and shape the future of data science initiatives.
Qualifications: 5+ years as a Data Engineer with strong SQL and Python skills.
Other info: Small team environment with high visibility and career growth opportunities.

The predicted salary is between 51000 - 85000 £ per year.

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!

Data Engineer – MGA (Greenfield Build) employer: Arthur Recruitment

Join a forward-thinking tech-first insurer in London, where you will have the unique opportunity to shape a brand-new data platform from the ground up. With a competitive package and a collaborative work culture, you'll enjoy autonomy while being part of a small, ambitious team that values your input and fosters professional growth through exposure to cutting-edge data science and machine learning projects.

Contact Detail:

Arthur Recruitment Recruiting Team

View Arthur Recruitment Profile

We think you need these skills to ace Data Engineer – MGA (Greenfield Build)

Data Engineering

Databricks

dbt

Azure Data Services

SQL

Python

Data Pipeline Development

Data Quality Frameworks

Technical Documentation

Stakeholder Engagement

Large-scale Dataset Management

Client-facing Communication

Collaboration

Problem-Solving

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, SQL, and Python, and don’t forget to mention any work you've done on greenfield projects. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about building a new data platform and how your past experiences make you the perfect fit for our ambitious team. Keep it engaging and personal!

Showcase Your Projects: If you’ve worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing real examples of your work, especially if they involve building data pipelines or scalable systems!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Don’t miss out on this opportunity!

How to prepare for a job interview at Arthur Recruitment

✨Know Your Tech Stack

Make sure you’re well-versed in Databricks, dbt, and Azure data services. Brush up on your SQL and Python skills too, as these will likely come up during technical discussions. Being able to demonstrate your hands-on experience with these tools will show that you're ready to hit the ground running.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've designed and deployed data pipelines or built platforms from scratch. Think about challenges you faced and how you overcame them. This will highlight your ability to contribute to their greenfield build effectively.

✨Engage with Stakeholders

Since the role involves working closely with analytics and business teams, be ready to talk about your experience in client-facing situations. Share examples of how you've successfully engaged stakeholders and delivered fit-for-purpose datasets in previous roles.

✨Emphasise Collaboration

This position is all about being part of a small, ambitious team. Highlight your experience in collaborative environments and how you’ve influenced tech direction in past projects. Showing that you can work well with others will resonate with their team-oriented culture.