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 career growth and professional development.
- Why this job: Make an impact in data engineering and grow your skills in a supportive environment.
- Qualifications: Strong experience with Databricks, cloud platforms, and advanced Python and SQL skills.
The predicted salary is between 70000 - 90000 £ 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 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 commitment to professional development through certifications and mentorship, 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
✨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 might even lead to 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 you've done. 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 boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Lead Databricks Engineer | Hybrid, Growth & Certifications
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 Authentic:Let your personality shine through in your written application. We’re not just looking for 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 this exciting opportunity with us.
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 Databricks-based data and ML platforms, as well as any specific projects you've led. This will show that you're not just familiar with the tool, but that you can lead others in using it effectively.
✨Showcase Your Cloud Expertise
Since the role requires strong experience with cloud platforms like AWS, Azure, and GCP, prepare to talk about your hands-on experience with these technologies. Have examples ready that demonstrate how you've leveraged cloud services to enhance data solutions or improve efficiency.
✨Demonstrate Leadership Skills
As a Lead Databricks Engineer, you'll be expected to provide technical leadership and mentoring. Think of instances where you've successfully guided a team or mentored junior engineers. Highlight your approach to leadership and how you foster collaboration and growth within your team.
✨Prepare for Technical Questions
Expect some technical questions around advanced Python and SQL skills. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common coding challenges can help you feel more confident and ready to tackle any technical assessments during the interview.
