Find a job 
Featured Companies 
Featured Universities 
For Companies 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 high visibility in your work.
- Why this job: Join a greenfield project and shape the future of data science and ML.
- Qualifications: 5+ years as a Data Engineer with strong SQL and Python skills.
- Other info: Be part of a small, ambitious team with huge influence on tech direction.
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
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – MGA (Greenfield Build)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Databricks and Azure. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you'd tackle building data pipelines or working with large datasets, and be ready to share your thought process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer – MGA (Greenfield Build)
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 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 the perfect fit for this Data Engineer role. Share specific examples of your previous work, especially in building robust data pipelines and collaborating with teams, to show how you can contribute to our greenfield project.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you have certifications in Databricks or Azure Data Engineering, mention them. Also, consider including links to any relevant projects or GitHub repositories that highlight your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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. Highlight any challenges you faced and how you overcame them. This will illustrate your ability to tackle complex problems, which is crucial for a role focused on building a new data platform.
✨Engage with Stakeholders
Since this 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. This will demonstrate your communication skills and ability to collaborate effectively.
✨Understand the Company’s Vision
Research the company and its goals, especially regarding their greenfield build and future data science initiatives. Showing that you understand their roadmap and how you can contribute will set you apart. It’s all about aligning your skills with their vision!
