Databricks Engineer (Manager)

Transform lives through data and AI

Who we are:

We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI.

The Role: 

We’re looking for an experienced Data Engineer with expertise in Databricks, Apache Spark, Delta Lake, Python and SQL to lead technical delivery in our innovative client projects. You’ll design, build, and optimise scalable cloud-based data pipelines on platforms like AWS, Azure, or GCP, while providing technical leadership within Kubrick’s delivery squads.

In this role, you’ll collaborate with clients and internal teams, translate business requirements into robust data solutions, and help grow Kubrick’s Databricks capabilities. Strong problem-solving, communication skills, and a client-focused mindset are essential.

What we offer:

• Leadership opportunities on high-impact data projects
• Continuous learning and Kubrick-funded certifications
• Collaboration with a top-tier Databricks developer community

Requirements:

• Must be able to demonstrate Data Engineering with cloud experience
• Expertise in Databricks (a must!), Spark and Delta Lake
• Advanced Python & SQL skills
• Experience with CI/CD, automated testing, and data governance

What Kubrick offers:

A fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow.

We also offer:

• Salary: negotiable dependent on experience + bonus.
• Hybrid: 2-3 days a week in the office
• Friendly and collaborative working environment
• Access to upskilling opportunities and clear progression path
• 25 days of annual leave
• Highstreet discounts and Wellness Hub with confidential well-being and mental health support
• Cycle to work scheme & eye-care vouchers

Our commitment to Diversity, Equity and Inclusion (DEI):

At Kubrick, we not only strive to bridge the skills-gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.

We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.

We’ve proudly partnered with Women in Data for over six years, providing a community platform for our female and non-binary consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety.