Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain top-notch data products using Databricks in a collaborative environment.
- Company: Leading UK recruitment agency with a focus on data and analytics.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work closely with diverse teams to meet business needs and uphold data governance.
- Why this job: Join a dynamic team and make an impact in the data engineering field.
- Qualifications: 6+ years in data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
A leading recruitment agency in the UK seeks a Senior Data Engineer to join the Data & Analytics team. This role, requiring hybrid working with 2-3 days in-office, focuses on designing and maintaining production-grade data products using Databricks.
Candidates should have 6+ years in data engineering, with strong Python and SQL skills. The successful applicant will collaborate closely with various teams to meet business requirements and ensure data governance standards are maintained.
Senior Data Engineer - Databricks Data Platform employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Databricks Data Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data products and projects using Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering scenarios and be ready to discuss how you've collaborated with teams to meet business needs.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer - Databricks Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, especially your skills in Python and SQL. 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 the Senior Data Engineer position and how your experience with Databricks can benefit our Data & Analytics team. Keep it engaging and personal.
Showcase Collaboration Skills: Since this role involves working closely with various teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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!
How to prepare for a job interview at Stott and May
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand its architecture, features, and how it integrates with other tools. Being able to discuss specific use cases or projects where you've utilised Databricks will show your expertise.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks. Highlight any projects where you've used these skills to deliver impactful results.
✨Collaboration is Key
Since this role involves working closely with various teams, be ready to discuss your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to meet business requirements and ensure data governance standards are upheld.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and the challenges they face. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street!