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- Tasks: Design and optimise data warehouse solutions while collaborating with stakeholders.
- Company: Major insurance company in Central London with a focus on innovation.
- Benefits: Competitive contract pay, flexible working options, and valuable industry experience.
- Why this job: Join a dynamic team and work on exciting projects in the Azure cloud environment.
- Qualifications: Experience with SQL, ETL/ELT tools, and strong communication skills.
- Other info: 6-month contract with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A major insurance company in Central London is seeking a Data Warehouse Engineer to design and optimize data warehouse solutions. The ideal candidate will have experience with SQL, ETL/ELT tools, and knowledge of the Azure cloud data stack.
Responsibilities include:
- Collaboration with various stakeholders
- Support for the migration of legacy systems to Azure
The role requires excellent communication skills and a strong problem-solving mindset. This position is contract-based for 6 months.
Azure Data Warehouse Engineer (SQL/ETL) – London Market employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Warehouse Engineer (SQL/ETL) – London Market
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and ETL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios they might throw at you, especially around data migration and Azure solutions.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles like the Azure Data Warehouse Engineer. Plus, we love seeing familiar faces!
We think you need these skills to ace Azure Data Warehouse Engineer (SQL/ETL) – London Market
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, ETL/ELT tools, and the Azure cloud data stack. We want to see how your skills align with what we're looking for, 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 the perfect fit for the Data Warehouse Engineer role. Share specific examples of how you've collaborated with stakeholders and tackled challenges in previous roles.
Show Off Your Communication Skills: Since this role requires excellent communication, make sure your application reflects that. Keep your language clear and concise, and don’t forget to proofread for any typos or errors. We love attention to detail!
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 role. Plus, it’s super easy – just a few clicks and you’re done!
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 complex queries and data manipulation, as well as any specific projects where you've used SQL to solve problems.
✨Familiarise Yourself with ETL/ELT Tools
Get to grips with the ETL/ELT tools mentioned in the job description. Be ready to talk about how you've used these tools in past roles, including any challenges you faced and how you overcame them.
✨Understand Azure Cloud Data Stack
Since this role involves working with Azure, make sure you have a solid understanding of the Azure cloud data stack. Research its components and be prepared to discuss how you've leveraged Azure in previous projects or how you would approach migrating legacy systems.
✨Showcase Your Communication Skills
As collaboration is key in this role, think of examples where you've effectively communicated with stakeholders. Prepare to share how you’ve navigated discussions around data requirements and project updates, highlighting your problem-solving mindset.