At a Glance
- Tasks: Lead the development of finance data solutions in a dynamic cloud environment.
- Company: Join a leading insurance organisation at a pivotal moment.
- Benefits: Competitive day rate, flexible working, and impactful projects.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Make a real difference in finance data engineering and enhance your skills.
- Qualifications: Strong Data Engineering experience in insurance and proficiency in Python/PySpark.
We are working with a leading insurance organisation seeking a Finance Data Engineering Lead to join a major programme at a critical stage of delivery. This is a hands‑on role focused on building and delivering data solutions within an established cloud data environment.
The Role
You will play a key role in developing and deploying finance and actuarial data pipelines, supporting reporting, analytics and reconciliation capabilities.
Key responsibilities include:
- Developing Python/PySpark data pipelines within cloud platforms
- Building datasets and models for finance, actuarial and risk reporting
- Integrating with existing data ingestion and orchestration frameworks
- Supporting reconciliation, validation and data quality processes
- Collaborating with design and architecture teams to deliver aligned solutions
Experience Required
- Strong experience as a Data Engineer within insurance (essential)
- Proficiency in Python, PySpark and Spark-based processing
- Experience working with Databricks or similar cloud data platforms
- Exposure to finance, actuarial or regulatory reporting data
- Ability to operate within live programme environments and deliver at pace
Engagement Details
- Contract: Outside IR35
- Day Rate: 750 - 950 (flexible for strong profiles)
- Duration: 6‑12 months
- Location: London (3 days per week onsite)
This role is ideal for someone who enjoys hands‑on delivery, working within established environments, and contributing to high-impact programmes.
Finance Data Engineering Lead employer: Experis
Join a leading insurance organisation that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact critical projects. With a focus on employee growth, you will have access to ongoing training and development opportunities, all while enjoying the flexibility of a hybrid working model in the vibrant city of London. This role not only provides competitive remuneration but also places you at the forefront of finance data engineering within a supportive and forward-thinking team.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data engineering space. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and PySpark projects. This is a great way to demonstrate your hands-on experience and make you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with cloud platforms and how you've tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you, and applying directly can give you a better chance of landing that dream role.
We think you need these skills to ace Finance Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Data Engineer, especially in the insurance sector. We want to see your proficiency in Python and PySpark, so don’t hold back on showcasing those skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re the perfect fit for the Finance Data Engineering Lead role. Mention specific projects where you've developed data pipelines or worked with cloud platforms.
Showcase Relevant Experience:When filling out your application, focus on your hands-on delivery experience and any work you've done in live programme environments. We love seeing how you’ve contributed to high-impact programmes in the past!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Experis
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss specific projects where you've built data pipelines or worked with cloud platforms like Databricks. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Insurance Experience
Since this role is within the insurance sector, be prepared to share examples of how your previous work as a Data Engineer has directly impacted finance or actuarial reporting. Highlight any challenges you faced and how you overcame them to deliver results.
✨Collaboration is Key
This position involves working closely with design and architecture teams. Think of examples where you’ve successfully collaborated with others to deliver aligned solutions. Emphasise your communication skills and how you ensure everyone is on the same page.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities in live programme environments. Practice articulating your thought process when faced with tight deadlines or unexpected issues, showcasing your ability to deliver at pace while maintaining data quality.
