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- Tasks: Build scalable data pipelines and manage large datasets for impactful projects.
- Company: Public sector organisation in Brighton with a focus on analytics.
- Benefits: Competitive salary, 25 days annual leave, and hybrid working model.
- Why this job: Join a mission-driven team and make a difference through data engineering.
- Qualifications: Strong data engineering skills with experience in Python or Spark.
- Other info: Great work-life balance and collaborative team environment.
The predicted salary is between 55000 - 63000 £ per year.
A public sector organisation in Brighton seeks a Data Engineer to develop scalable data pipelines and manage large datasets effectively. The ideal candidate has strong data engineering skills, experience with Python or Spark, and can collaborate effectively with teams.
This position offers a competitive salary of £55,000 to £63,000 per annum with benefits including 25 days of annual leave and a hybrid working model to ensure work-life balance.
Hybrid Data Engineer - Azure | Analytics & Impact in Brighton employer: Michael Page (UK)
Contact Detail:
Michael Page (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer - Azure | Analytics & Impact in Brighton
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the organisation on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines or any projects using Python or Spark. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common data engineering questions and coding challenges. We can even do mock interviews together!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications and follow up easily.
We think you need these skills to ace Hybrid Data Engineer - Azure | Analytics & Impact in Brighton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data engineering skills and experience with Python or Spark. We want to see how your background aligns with the role, 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 this position and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Collaboration Skills: Since this role involves working with teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully worked with others in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Michael Page (UK)
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Python and Spark, as these are crucial for the role. Be prepared to discuss specific projects where you've used these technologies, and think about how you can demonstrate your ability to develop scalable data pipelines.
✨Showcase Collaboration Skills
Since this role involves working with teams, be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked cross-functionally or contributed to team projects, as this will show your ability to fit into their culture.
✨Understand the Public Sector Context
Familiarise yourself with the public sector's unique challenges and opportunities, especially in data management. Being able to discuss how your skills can help address these issues will set you apart from other candidates.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their current data projects or how they measure the impact of their analytics. It shows your genuine interest in the role and helps you assess if it's the right fit for you.
