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- Tasks: Build and deploy data solutions for a global insurance group.
- Company: Join a leading global insurance group based in London.
- Benefits: Full-time contract with a commitment to workplace diversity.
- Why this job: Enhance data platforms and collaborate with diverse teams.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills.
- Other info: Opportunity to work with Azure services in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A global insurance group in London is looking for a Data Engineer to enhance its data platforms. The role involves building and deploying data solutions, collaborating with various teams, and ensuring data integrity.
Successful candidates will have:
- Over 5 years of experience in data engineering
- Strong skills in Python and SQL
- Hands-on experience with Azure services
The position offers a full-time contract and a commitment to workplace diversity.
Data Engineer - Azure Lakehouse for Insurance Analytics employer: London Insurance Life
Contact Detail:
London Insurance Life Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure Lakehouse for Insurance Analytics
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data engineering fields. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data solutions, especially those involving Azure services. This will not only demonstrate your expertise but also make you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL. Practice common data engineering problems and be ready to discuss your past projects. We all know that 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. Plus, we’re committed to diversity, so we want to see a wide range of candidates bringing their unique perspectives.
We think you need these skills to ace Data Engineer - Azure Lakehouse for Insurance Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and Azure services in your application. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to building and deploying data solutions, as this will help us see your fit for the position.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at London Insurance Life
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to Azure services. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, be prepared to share examples of how you've successfully collaborated in the past. Think about times when you had to communicate complex data solutions to non-technical stakeholders and how you ensured everyone was on the same page.
✨Emphasise Data Integrity
Data integrity is crucial in this role, so come armed with examples of how you've maintained or improved data quality in previous positions. Discuss any tools or processes you've implemented to ensure accuracy and reliability in your data solutions.
✨Align with Workplace Diversity Values
This company values diversity, so it’s a good idea to reflect on how your unique background and experiences can contribute to a diverse workplace. Be ready to discuss your perspective on inclusivity and how it can enhance team dynamics and project outcomes.
