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For Companies At a Glance
- Tasks: Design and build innovative data pipelines and scalable architectures for a new data platform.
- Company: Fast-growing tech-first insurer with a collaborative and ambitious team.
- Benefits: Competitive salary, bonus, flexible hybrid working, and influence on tech direction.
- Why this job: Shape the future of data science and ML in a greenfield environment.
- Qualifications: 5+ years as a Data Engineer with strong SQL, Python, and Databricks skills.
- Other info: Join a small team where your work directly impacts decision-making.
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
Contact Detail:
Arthur Recruitment Recruiting Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on experience with Databricks, SQL, and Python, as well as any relevant projects you've worked on that showcase your ability to build data platforms from scratch.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this greenfield build opportunity. Share specific examples of how you've shaped data landscapes in previous roles and how you can bring that expertise to our ambitious team.
Showcase Your Stakeholder Engagement Skills: Since excellent stakeholder engagement is key for this role, include examples in your application that demonstrate your comfort in client-facing conversations. We want to see how you've successfully collaborated with analytics and business teams in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
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.
