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- Tasks: Build secure data pipelines and support cloud transformation projects using Databricks and Azure.
- Company: Join a leading recruitment agency working with a prominent UK organisation.
- Benefits: Enjoy private medical insurance, hybrid work, and career development opportunities.
- Why this job: Make an impact in large-scale data engineering while working with cutting-edge technology.
- Qualifications: Strong programming skills in Python and SQL required.
- Other info: Great opportunity for career growth in a dynamic environment.
The predicted salary is between 60000 - 80000 £ per year.
A leading recruitment agency is seeking an experienced Data Engineer to join a prominent organization in the UK. The successful candidate will work on large-scale data engineering and cloud transformation projects using tools like Databricks and Azure.
Responsibilities include developing secure pipelines and supporting Lakehouse environments.
Ideal for someone with strong programming skills in Python and SQL, the role offers a hybrid work model and comprehensive benefits including private medical insurance and career development opportunities.
Databricks Data Engineer | Hybrid UK, Azure & Lakehouse in Edinburgh employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer | Hybrid UK, Azure & Lakehouse in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Databricks and Azure. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. 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 common data engineering questions and scenarios. Practice explaining your thought process when developing secure pipelines or working with Lakehouse environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Engineer role, and applying directly can give you an edge over other candidates.
We think you need these skills to ace Databricks Data Engineer | Hybrid UK, Azure & Lakehouse in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and any relevant data engineering projects. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in Python and SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Engineer role. Share specific examples of your past work that relate to developing secure pipelines and supporting Lakehouse environments.
Showcase Your Projects: If you've worked on any large-scale data engineering or cloud transformation projects, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your projects if possible!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Azure, and Lakehouse concepts. Brush up on your Python and SQL skills, as you might be asked to solve technical problems or discuss your previous projects involving these tools.
✨Showcase Your Projects
Prepare to talk about specific data engineering projects you've worked on. Highlight your role in developing secure pipelines and any challenges you faced while working with cloud transformation. Real-world examples will make you stand out!
✨Understand the Company’s Needs
Research the organisation and its data strategy. Knowing how they utilise data can help you tailor your answers and demonstrate that you’re not just a fit for the role, but also for their culture and goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and future developments in their data strategy. This shows your genuine interest in the role and helps you assess if it’s the right fit for you too.