How to get a job at Databricks

Databricks has a growing presence in London with teams focused on data engineering, machine learning, and analytics platforms. The company provides the Databricks Lakehouse platform for data and AI workloads.

Databricks is scaling rapidly with focus on data engineering and AI. The London office contributes to product development and serves European customers.

The working environment at Databricks reflects the cloud & data sector — structured but dynamic, with a mix of planned project work and responsive tasks. Most roles involve regular collaboration with colleagues across different teams and functions, with clear expectations for deliverables and timelines. Flexible and hybrid working arrangements are increasingly common, and the organisation recognises that different roles require different working patterns.

As a 2,800+-person organisation, Databricks sits at a size where you can genuinely know people across different departments. Teams tend to be close-knit, and there's a real sense of shared purpose. You'll likely have more visibility with senior leadership than you would at a larger employer, which means your contributions are noticed and your ideas can reach decision-makers more quickly.

The culture at Databricks shapes how the day feels beyond just the work itself. Colleagues describe the environment as one that values Data Engineering Passion and Technical Depth. Lunch breaks, team socials, and informal catch-ups are part of the rhythm — Databricks recognises that building relationships across the organisation is as important as the deliverables themselves. Most employees report that the people are one of the best things about working here, and that the team dynamic makes challenging work feel manageable.

Career progression at Databricks follows a relatively clear path for most roles. Promotions typically depend on demonstrating increased responsibility, deeper expertise, and leadership capability — whether that's leading teams, managing clients, or driving technical innovation. The organisation values both specialist depth and the ability to take on broader management responsibilities, so there are usually multiple progression routes available. Don't assume you need to move into management to advance — many cloud & data organisations increasingly recognise and reward technical and specialist career paths.

Databricks invests in structured learning and development programmes, including access to training courses, conferences, and professional certifications. Many employees report that the L&D budget is generous and genuinely encouraged — not just a line in the benefits package that nobody actually uses. Whether it's technical upskilling, leadership development, or industry certifications, there's real support for continuous learning. While formal mentoring programmes may vary across departments, the culture generally encourages learning from more experienced colleagues. Building relationships with senior team members is one of the most effective ways to accelerate your development — seek out people whose career trajectory you admire and ask them for advice regularly.

For technology professionals, Databricks offers exposure to projects and challenges that build a strong CV whether you stay long-term or move on after a few years. The skills and experience you gain — particularly around Data Engineering Passion and Technical Depth — are transferable across the cloud & data sector and beyond. Internal mobility is possible for strong performers, with opportunities to move between teams, departments, or even locations as your career develops. Many senior leaders at Databricks started in entry-level or early-career positions, which speaks to the genuine career development opportunities available.