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- Tasks: Build and optimise data analytics architectures for a leading insurance platform.
- Company: Top (re)insurance broker in London with a focus on technology and innovation.
- Benefits: Competitive salary, pension contributions, private medical insurance, and more.
- Why this job: Join a dynamic team and shape the future of insurance analytics.
- Qualifications: Advanced TSQL skills, data warehouse modelling, and Python scripting experience.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading (re)insurance broker in London is looking for a Data Engineer to join their Technology, Data and Innovation team. The role involves developing data analytics architectures, optimizing data platforms, and ensuring compliance with company standards.
Ideal candidates should have:
- Advanced TSQL skills
- Experience with data warehouse modeling
- Scripting with Python
The position offers a competitive salary and a robust benefits package including pension contributions and private medical insurance.
Data Engineer - Insurance Analytics Platform in City of London employer: MILLER INSURANCE LLC
Contact Detail:
MILLER INSURANCE LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Insurance Analytics Platform in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your TSQL and Python projects. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with data warehouse modelling. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Engineer - Insurance Analytics Platform in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced TSQL skills and experience with data warehouse modelling. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our Technology, Data and Innovation team. Keep it concise but impactful!
Showcase Your Scripting Skills: Since Python scripting is key for this role, include examples of your work with Python in your application. Whether it's a project or a personal endeavour, we want to see your coding chops!
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’re considered for the position. Plus, it’s super easy!
How to prepare for a job interview at MILLER INSURANCE LLC
✨Know Your Data Inside Out
Make sure you brush up on your TSQL skills and be ready to discuss your experience with data warehouse modelling. Prepare examples of how you've optimised data platforms in the past, as this will show your practical knowledge and problem-solving abilities.
✨Showcase Your Python Skills
Since scripting with Python is a key part of the role, be prepared to talk about specific projects where you've used Python for data engineering tasks. If possible, bring along code snippets or examples that demonstrate your proficiency.
✨Understand Compliance Standards
Familiarise yourself with compliance standards relevant to the insurance industry. Be ready to discuss how you've ensured compliance in previous roles, as this will highlight your attention to detail and understanding of industry regulations.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data analytics architecture and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
