Kubrick Group is an award-winning consultancy helping organisations realise value through data, AI and modern technology.
As a long-standing Databricks partner, the platform has played a key role in helping us deliver scalable, impactful solutions for clients across industries while shaping the growth of our wider data and AI offering.
We’re now looking for a Databricks Manager to help deliver enterprise-scale data platforms while contributing to the continued growth of our Databricks Centre of Excellence.
The opportunity
We’re looking for Databricks Engineers 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’ll have the opportunity to:
- 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
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
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
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 including UK public holidays
- Pension matching up to 5%
- Hybrid working in our London office near St. Paul’s
- Flexible working options
- Unlimited mental health support and GP access through Help@Hand
- Enhanced family leave and additional family support policies
- Financial wellbeing support and employee discounts
- Cycle to work scheme
Diversity and inclusion
We’re committed to building a diverse and inclusive workplace where everyone can thrive.
We’re proud to have above‑industry representation of women and non‑binary individuals in tech, supported by a range of employee resource groups, inclusive policies, flexible working, and more.
If you require any adjustments during the application or interview process, please let us know – we’re here to support you.
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