At a Glance
- Tasks: Lead the delivery of Databricks-based data and ML platforms while mentoring engineers.
- Company: Join Kubrick Group, a forward-thinking company in Greater London.
- Benefits: Enjoy 33 days annual leave, pension matching, hybrid work, and unlimited mental health support.
- Other info: Great opportunity for professional growth and certifications.
- Why this job: Make a real impact in data and ML while growing your career.
- Qualifications: Strong experience with Databricks, cloud platforms, and advanced Python and SQL skills.
The predicted salary is between 80000 - 100000 £ per year.
Kubrick Group is hiring a Lead Databricks Engineer in Greater London. In this role, you will lead the delivery of Databricks-based data and ML platforms while providing technical leadership and mentoring to engineers.
Strong experience with Databricks, cloud platforms (AWS, Azure, GCP), and advanced Python and SQL skills are crucial.
Additional benefits include:
- 33 days annual leave
- Pension matching
- Hybrid working options
- Unlimited mental health support
Lead Databricks Engineer | Hybrid, Growth & Certifications in London employer: Kubrick Group
Kubrick Group is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture in the heart of Greater London. With a strong focus on professional development through certifications and mentoring, alongside generous benefits like 33 days of annual leave and unlimited mental health support, we create an environment where engineers can thrive and lead innovative projects in data and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Databricks Engineer | Hybrid, Growth & Certifications in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Kubrick Group on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Databricks projects, cloud solutions, and any cool Python or SQL work. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Databricks knowledge and coding skills. We can even set up mock interviews with friends to nail those tricky questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide updates directly.
We think you need these skills to ace Lead Databricks Engineer | Hybrid, Growth & Certifications in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Databricks, cloud platforms, and your Python and SQL skills. We want to see how you can lead and mentor others, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your application for the Lead Databricks Engineer role. We love seeing candidates who understand our needs and can demonstrate how their background aligns with what we’re looking for.
Be Yourself:Let your personality shine through in your written application. We’re not just looking for a list of qualifications; we want to know who you are and how you’ll fit into our team culture at StudySmarter.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Kubrick Group
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with data and ML platforms, and think of specific projects where you've led the delivery. This will show that you’re not just familiar with the tool, but that you can leverage it effectively.
✨Show Off Your Cloud Skills
Since this role requires strong experience with cloud platforms like AWS, Azure, and GCP, be prepared to talk about your hands-on experience with these technologies. Have examples ready that demonstrate how you've used these platforms in past projects, especially in relation to Databricks.
✨Demonstrate Leadership and Mentoring
As a Lead Engineer, you'll need to showcase your leadership skills. Think of instances where you've mentored other engineers or led a team. Be ready to discuss your approach to technical leadership and how you foster collaboration and growth within your team.
✨Prepare for Technical Questions
Expect some technical questions around advanced Python and SQL. Brush up on your coding skills and be ready to solve problems on the spot. Practising common coding challenges can help you feel more confident and prepared during the interview.
