Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data solutions using Databricks and transform data landscapes.
- Company: Leading organisation in Manchester with a focus on innovation.
- Benefits: 12% annual bonus, hybrid work options, and competitive salary.
- Why this job: Join a dynamic team and make a real impact in the insurance sector.
- Qualifications: 5+ years of Databricks experience and strong Data Engineering skills.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
Are you an experienced Data Engineer with a passion for building scalable data solutions? We are looking for a Databricks expert to join a leading organisation in Manchester and play a key role in transforming their data landscape.
What's on Offer
- 12% annual bonus
- Location: Manchester (on-site/hybrid)
- Start date: ASAP
What You'll Bring
- 5+ years of hands-on experience with Databricks
- Strong background in Data Engineering
- Insurance domain experience (essential)
- Data Management expertise (preferred)
- Ability to hit the ground running and deliver high-quality solutions
Additional Info
- No visa sponsorship available
- Interview process: 3 stages
Please send me a copy of your CV if you are interested.
Databricks Data Engineer in Manchester employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those with experience in Databricks. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Prepare for those interviews! Brush up on your Databricks skills and be ready to showcase your past projects. We recommend having a few examples of how you've tackled challenges in the insurance domain to impress the interviewers.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and expertise. Use our website to find roles that match your skills in data management and engineering. It’s all about finding the right fit!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company, which is always a bonus.
We think you need these skills to ace Databricks Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Data Engineering. We want to see how your skills match the job description, 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 the role and how your background in the insurance domain makes you a perfect fit for us.
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just listing duties. We love to see quantifiable results that demonstrate your impact in previous roles!
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 in Manchester!
How to prepare for a job interview at Jefferson Frank
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks skills before the interview. Be ready to discuss specific projects where you've used Databricks to build scalable data solutions. Highlight your hands-on experience and be prepared to answer technical questions that showcase your expertise.
✨Showcase Your Data Engineering Experience
With over 5 years in the field, you should have plenty of examples to share. Prepare to talk about your previous roles, focusing on how you've tackled challenges in data management and engineering. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Insurance Domain
Since insurance domain experience is essential, do your homework! Familiarise yourself with common data challenges in the industry and think about how your skills can address them. This will show your potential employer that you're not just a tech whiz but also understand their business needs.
✨Prepare for the Interview Stages
The interview process has three stages, so be ready for a mix of technical and behavioural questions. Practice common interview questions related to data engineering and Databricks, and think about how you can demonstrate your ability to hit the ground running. Confidence is key!
