Senior Manager - Databricks Engineer

The opportunity

Join Kubrick as Senior Manager Databricks Engineer: lead end-to-end data/ML platforms, mentor teams, and partner with clients to deliver real impact in an inclusive, collaborative setting.

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.

In this role, you will:

• Lead the end-to-end delivery of Databricks-based data and ML platforms

• Work closely with clients, internal stakeholders and Databricks Professional Services teams

• Provide technical leadership across delivery squads, helping set the standard for engineering excellence

• Translate business challenges into robust, scalable technical solutions

• Mentor, line-manage and develop engineers across the wider capability

• 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

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 delivering solutions on Databricks

• Cloud experience across AWS, Azure or GCP

• Advanced Python and SQL skills

• Experience leading technical delivery teams within enterprise environments

• The ability to influence both technical and business stakeholders

• Experience mentoring engineers and driving engineering best practice

• A mindset focused on quality, impact and continuous improvement

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, plus leadership and capability development programmes

• Access to our Centre of Excellence networks, led by experienced technical specialists with deep expertise across data and AI

• Opportunities to build your brand through thought leadership

• Access to technical communities, events and opportunities to build your network across the wider Databricks ecosystem

We invest heavily in helping our people continue developing their expertise so they can grow, lead and make a real impact.

• 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

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.