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- Tasks: Design SQL data solutions and develop ETL pipelines for a scalable data warehouse.
- Company: Join Aviva, a leader in the insurance industry, focused on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving data excellence in the London Market.
- Why this job: Make an impact by working with complex data sets in a critical insurance environment.
- Qualifications: Solid SQL skills and experience with bordereaux processing and Azure data services.
The predicted salary is between 60000 - 80000 £ per year.
Aviva is seeking a Data Engineer experienced in London Market insurance to support a Lloyd’s syndicate in building a scalable data warehouse. Key responsibilities include:
- Designing SQL data solutions
- Developing ETL pipelines
- Ensuring data quality
The ideal candidate should have:
- Solid SQL skills
- Experience with bordereaux processing
- Familiarity with Azure data services
This position offers a chance to work with complex data sets in a critical insurance environment.
London Market Data Engineer: SQL, ETL & Azure Data Platform employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London Market Data Engineer: SQL, ETL & Azure Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the London Market insurance scene on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL data solutions and ETL pipelines. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Azure data services and bordereaux processing. Being able to discuss these topics confidently will show you're the right fit for the job.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace London Market Data Engineer: SQL, ETL & Azure Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and experience with ETL pipelines. We want to see how your background aligns with the role, so don’t be shy about showcasing your 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 your experience with Azure data services can benefit us at Aviva.
Showcase Your Problem-Solving Skills: In the insurance world, data quality is key. Share examples of how you've tackled data challenges in the past, especially if they relate to bordereaux processing or complex data sets.
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 from our team!
How to prepare for a job interview at Aviva
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL data solutions and how you've used them in past projects, especially in relation to data warehousing.
✨ETL Pipeline Expertise
Familiarise yourself with ETL processes and be ready to explain how you've developed pipelines in previous roles. Think of specific examples where you ensured data quality and efficiency in your work.
✨Azure Data Services Savvy
Since this role involves Azure, it’s crucial to understand its data services. Research the latest features and be prepared to discuss how you’ve leveraged Azure in your past projects, particularly in a London Market context.
✨Understand the Insurance Landscape
Get a good grasp of the London Market insurance sector and bordereaux processing. Being able to speak knowledgeably about industry challenges and how data engineering can address them will set you apart from other candidates.