At a Glance
- Tasks: Lead the design and optimisation of cloud-native data platforms using Databricks.
- Company: Join Kubrick, an award-winning consultancy transforming data and AI solutions.
- Benefits: Enjoy 33 days annual leave, flexible working, and unlimited mental health support.
- Other info: Access to 20 development days and fully funded certifications for continuous growth.
- Why this job: Make a real impact while growing your skills in a collaborative environment.
- Qualifications: Strong experience with Databricks, Apache Spark, and advanced Python and SQL skills.
The predicted salary is between 70000 - 90000 £ per year.
The opportunity We’re looking for a Databricks Manager to help deliver enterprise-scale data platforms while contributing to the continued growth of our Databricks Centre of Excellence.
About Kubrick Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. Our clients span a wide range of industries, including Financial Services, Public Sector, Retail, Energy, Healthcare, Aviation, and more, and we are partnered with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra.
What sets us apart is how we build capabilities and careers. Through continuous learning, real‑world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers.
What you'll be doing We’re looking for a Databricks Manager to join our team and deliver scalable cloud‑native data platforms for enterprise clients while helping strengthen Kubrick’s growing Databricks capability. This is a hands‑on technical leadership role where you’ll combine deep engineering expertise with client collaboration, delivery leadership, and mentorship across delivery teams. Working closely with clients, internal stakeholders and Databricks Professional Services, you’ll help solve complex technical challenges while supporting engineering best practice across delivery squads.
- Design, build and optimise cloud‑native data platforms using Databricks, Spark and Delta Lake
- Lead technical delivery across client engagements, often alongside Databricks Professional Services
- Build and optimise scalable ETL/ELT pipelines using Python, SQL and CI/CD best practices
- Translate business problems into robust, production‑grade data solutions
- Provide technical leadership and mentorship across delivery squads
- Contribute to knowledge sharing, capability development and technical best practice within our Databricks Centre of Excellence
- Support the continued growth of Kubrick’s Databricks capability across clients and industries
What we're looking for: We’re looking for curious, collaborative people who enjoy solving complex challenges, sharing knowledge and continuing to grow in a fast‑evolving space. You'll bring:
- Strong experience with Databricks and Apache Spark
- Cloud expertise across AWS, Azure or GCP
- Advanced Python and SQL skills
- Experience with CI/CD, automated testing and data governance
- Experience leading technical delivery within enterprise environments
- Confidence working directly with clients and technical stakeholders
- A mindset focused on quality, impact and continuous improvement
Your development at Kubrick: Alongside hands‑on client exposure, you’ll have opportunities to continue growing your technical expertise, leadership capability, and industry profile through:
- 20 dedicated development days each year
- Fully funded certifications across Databricks, Azure, AWS and more
- Close collaboration with our Databricks Centre of Excellence, led by experienced technical specialists with deep expertise across data and AI
- Mentoring through our Centre of Excellence
- Ongoing collaboration with senior technical leaders.
- Access to technical communities, events and opportunities to build your network across the wider Databricks ecosystem.
- Leadership and capability development programmes
Additional benefits Alongside continued investment in your technical and professional development, you’ll also have access to a range of benefits designed to support your wellbeing, flexibility and life outside of work, including:
- 33 days annual leave (25 days annual leave plus 8 public holidays)
- Pension matching up to 5%
- Unlimited mental health support through Help@Hand
- Enhanced paid family leave
- Additional family leave support, including fertility treatment leave and dependent care leave
- Financial wellbeing support
- Cycle to Work scheme
- Specsavers eye care vouchers
- Flexible working options
- Internal mobility and career development opportunities
- Recognition and reward programs
- Learning and development opportunities, including professional certifications
- Employee Assistance Program (EAP)
- Mental health, diversity and inclusion support
Diversity and inclusion We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent. If you need any adjustments during the recruitment process, just let us know. We're here to support you.
Senior Databricks Engineer employer: Kubrick
At Kubrick, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and continuous learning. As a Senior Databricks Engineer, you'll benefit from 20 dedicated development days each year, fully funded certifications, and the opportunity to work alongside industry experts in our Databricks Centre of Excellence. With a strong focus on employee wellbeing, flexible working options, and a commitment to diversity and inclusion, Kubrick is dedicated to helping you build a rewarding career while making a meaningful impact across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Kubrick!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Databricks Engineer at Kubrick.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kubrick.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Databricks Engineer at Kubrick, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Databricks Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kubrick, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kubrick. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kubrick
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kubrick!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
