At a Glance
- Tasks: Build and optimise data platforms for a leading London Market Insurance Syndicate.
- Company: Join a dynamic team in the heart of London's insurance market.
- Benefits: Competitive daily rate, flexible contract, and hands-on experience.
- Other info: 6-month contract with potential for future opportunities.
- Why this job: Make a real impact on data development in a thriving industry.
- Qualifications: Experience in data engineering and a passion for optimising data environments.
The predicted salary is between 138000 - 138000 £ per year.
Contract BI Developer / 6 month duration / Outside IR35 / £575 per day / London Market Insurance
We are working closely with a London Market Insurance Syndicate to hire an experienced Contract Data Engineer to support the ongoing development and enhancement of its core data environment. This is a hands-on role focused on building and optimising the data platform, data warehouse and wider data ecosystem.
BI Engineer (Contract) in London employer: Hanson Lee Resourcing Ltd.
Contact Detail:
Hanson Lee Resourcing Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Engineer (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the London Market Insurance sector. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous work as a BI Engineer. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for practical assessments. We all know that being able to talk through your thought process is just as important as getting the right answer.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace BI Engineer (Contract) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the BI Engineer role. Highlight your experience with data platforms and any relevant projects you've worked on in the London Market Insurance sector. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this contract role. Share specific examples of your hands-on experience in building and optimising data environments, as this will grab our attention.
Showcase Your Technical Skills: Don’t forget to list your technical skills clearly. Mention any tools or technologies you’ve used that are relevant to the role, especially those related to data warehousing and data ecosystems. We love seeing candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Hanson Lee Resourcing Ltd.
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially within the London Market Insurance sector. Brush up on your knowledge of data platforms, warehouses, and any relevant tools or technologies that are commonly used in this field.
✨Showcase Your Hands-On Experience
Prepare to discuss your previous projects where you’ve built or optimised data environments. Be ready to share specific examples that highlight your problem-solving skills and technical expertise, as this role is very hands-on.
✨Understand the Business Context
Familiarise yourself with the London Market Insurance landscape. Knowing how data impacts decision-making in this industry will help you demonstrate your value and align your skills with the company’s needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data challenges and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.