At a Glance
- Tasks: Lead the development of data solutions and build data pipelines using Python/PySpark.
- Company: Join a leading insurance organisation in a dynamic hybrid role.
- Benefits: Flexible day rate between £750-£950, outside IR35.
- Other info: Exciting opportunity for career growth in a collaborative team.
- Why this job: Make an impact in finance data engineering within a cloud environment.
- Qualifications: Strong experience in data engineering and proficiency in cloud platforms like Databricks.
Experis is seeking a Finance Data Engineering Lead to join a leading insurance organisation in London. This hybrid role focuses on developing and delivering data solutions within an established cloud data environment.
Key responsibilities include:
- Building data pipelines in Python/PySpark
- Supporting finance and actuarial reporting
The ideal candidate will have strong experience in data engineering within insurance and proficiency in cloud platforms like Databricks.
The contract is outside IR35, offering a flexible day rate between £750-£950.
Finance Data Engineering Lead – Hybrid London employer: Experis
Joining our leading insurance organisation in London as a Finance Data Engineering Lead offers you the chance to work in a dynamic and innovative environment that values your expertise in data engineering. We pride ourselves on fostering a collaborative work culture that encourages professional growth, with access to cutting-edge technology and flexible working arrangements. Our commitment to employee development ensures that you will have ample opportunities to enhance your skills and advance your career while enjoying a competitive day rate.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Engineering Lead – Hybrid London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data engineering space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects, especially those using Python or PySpark. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for the interview by brushing up on cloud platforms like Databricks. Be ready to discuss how you've used these tools in past roles, as it’s crucial for this position.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Finance Data Engineering Lead – Hybrid London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially within the insurance sector. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python/PySpark and cloud platforms like Databricks.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Finance Data Engineering Lead role. Share specific examples of your past work that relate to building data pipelines and supporting finance reporting.
Showcase Your Technical Skills:In your application, make sure to highlight your technical skills clearly. We’re looking for someone who can hit the ground running, so mention any relevant projects or experiences that demonstrate your proficiency in data engineering and cloud environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding the hiring process. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Experis
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in Python and PySpark. Be ready to discuss specific projects where you've built data pipelines, as this will show your hands-on experience and technical prowess.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with cloud environments like Databricks, it’s crucial to understand how these platforms operate. We recommend exploring any recent updates or features in Databricks that could be relevant to the insurance sector.
✨Understand the Finance and Actuarial Context
Get a good grasp of finance and actuarial reporting processes. Being able to speak the language of finance will help you connect with the interviewers and demonstrate that you can bridge the gap between data engineering and financial insights.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data challenges or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
