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- Tasks: Join a dynamic team to enhance data engineering for underwriting and pricing projects.
- Company: A forward-thinking insurer prioritising data-driven solutions in the insurance sector.
- Benefits: Enjoy a hybrid work model with competitive daily rates and flexible contract length.
- Why this job: Be part of innovative projects using cutting-edge Azure technologies in a collaborative environment.
- Qualifications: Experience with Azure stack, SQL, Python/PySpark, and good practices like TDD and CI/CD.
- Other info: Contract role with an immediate start; perfect for those looking to make an impact.
The predicted salary is between 66000 - 78000 £ per year.
A growing Insurer with Data at their core is looking to further grow out their data engineering function and have upcoming projects working closely with Underwriting and Pricing teams. They’re seeking a Senior Data Engineer to join the team working on Azure stack with a mixture of technologies including Azure Databricks, ADF, Azure DevOps, PySpark, SQL and more.
Essential skills for the Senior Data Engineer:
- Well versed with Azure Data Engineering stack
- Experience with SQL and Python/PySpark
- Good practices such as TDD and CI/CD/DevOps
- Azure Data Factory
- Azure Databricks
- Insurance or FS industry experience (Desirable)
Rate: £550 - £650 P/D Outside IR35
Contract Length: 6 months
Location: London/WFH hybrid
Start Date: ASAP / Early April start
If this position sounds of interest, please don’t hesitate to apply. William will be in touch in due course to discuss your application in greater detail.
Senior Data Engineer (Insurance) employer: Arthur
Contact Detail:
Arthur Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Insurance)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Databricks and ADF. Consider building a small project or contributing to an open-source project that showcases your skills in these areas.
✨Tip Number 2
Network with professionals in the insurance and data engineering sectors. Attend relevant meetups or webinars where you can connect with others who work in similar roles, as they might provide insights or even referrals.
✨Tip Number 3
Brush up on your knowledge of good practices like TDD and CI/CD. You could create a presentation or write a blog post about how you've implemented these practices in past projects to demonstrate your expertise.
✨Tip Number 4
Research the company’s recent projects and initiatives in the data space. Being able to discuss these during an interview will show your genuine interest in the role and help you stand out from other candidates.
We think you need these skills to ace Senior Data Engineer (Insurance)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the Azure Data Engineering stack, SQL, and Python/PySpark. Use specific examples from your previous roles that demonstrate your skills in TDD and CI/CD/DevOps.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience in the insurance or financial services industry, and how you can contribute to their data engineering function.
Showcase Relevant Projects: If you've worked on projects involving Azure Databricks, ADF, or similar technologies, be sure to include these in your application. Describe your role and the impact of your work on the project's success.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer.
How to prepare for a job interview at Arthur
✨Showcase Your Technical Skills
Make sure to highlight your experience with the Azure Data Engineering stack, especially Azure Databricks and ADF. Be prepared to discuss specific projects where you've used SQL and Python/PySpark, as this will demonstrate your hands-on expertise.
✨Understand the Insurance Sector
Even though insurance experience is desirable, having a solid understanding of the industry can set you apart. Brush up on key concepts related to underwriting and pricing, as this knowledge will help you relate your technical skills to the business needs.
✨Emphasise Best Practices
Discuss your familiarity with good practices like Test-Driven Development (TDD) and Continuous Integration/Continuous Deployment (CI/CD). Providing examples of how you've implemented these practices in past projects will show that you value quality and efficiency.
✨Prepare Questions for the Interviewer
Having insightful questions ready shows your interest in the role and the company. Ask about upcoming projects, team dynamics, or how they measure success in their data engineering function. This not only helps you gauge if the role is right for you but also demonstrates your proactive attitude.
