Senior Databricks Engineer
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.
You will:
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.
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