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- Tasks: Lead the migration of legacy systems and develop ETL pipelines for data modernisation.
- Company: A top recruitment agency working with a well-established organisation in South West England.
- Benefits: Competitive salary, great benefits, and a hybrid work model.
- Why this job: Join a dynamic team and make a real impact on data capabilities.
- Qualifications: Strong SQL skills and experience in data engineering required.
- Other info: Excellent opportunity for career growth and collaboration across teams.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency is seeking a Database Engineer to modernize data capabilities within a well-established organization in South West England. This hybrid role involves leading the migration of legacy systems, developing ETL pipelines, and ensuring data governance and quality.
The ideal candidate will have:
- Strong SQL skills
- Data engineering experience
- Excellent communication abilities to work effectively across various teams
This position offers a competitive salary and numerous benefits.
Cloud Data Engineer - ETL, Azure, Hybrid UK in Gloucester employer: Tank Recruitment
Contact Detail:
Tank Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer - ETL, Azure, Hybrid UK in Gloucester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data engineering or cloud technologies. 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 ETL pipelines and any projects you've worked on in Azure. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data governance knowledge. Practice common interview questions and scenarios related to data migration and quality assurance. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Cloud Data Engineer - ETL, Azure, Hybrid UK in Gloucester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and data engineering experience. We want to see how your background aligns with the role of a Cloud Data Engineer, 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 excited about modernising data capabilities and how your communication skills will help you work across teams. We love a good story!
Showcase Your ETL Experience: Since this role involves developing ETL pipelines, make sure to include any relevant experience you have in this area. We’re keen to see how you’ve tackled similar challenges in the past!
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 us!
How to prepare for a job interview at Tank Recruitment
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL in past projects, especially in relation to ETL processes.
✨Showcase Your Data Engineering Experience
Come ready to share specific examples of your data engineering work. Highlight any experience with migrating legacy systems and developing ETL pipelines, as this will be crucial for the role.
✨Communicate Clearly and Effectively
Since this role involves working across various teams, practice articulating your thoughts clearly. Use examples from your past experiences to demonstrate your communication skills and how you’ve collaborated with others.
✨Understand Data Governance and Quality
Familiarise yourself with data governance principles and quality assurance practices. Be prepared to discuss how you ensure data integrity and compliance in your projects, as this is a key aspect of the role.