Refreshed 5 October 2026. Databricks is recruiting for a 12-week software-engineering internship starting in summer 2027. This article focuses on the London engineering vacancy, separate from the company’s product-management graduate pathway.
Who is eligible?
The listing targets students pursuing computer science, engineering or a related degree, expecting to graduate between autumn 2027 and summer 2028. Candidates should understand algorithms, data structures and object-oriented programming and be able to code in a language such as Python, Java or C++.
What the internship offers
Interns work on features for Databricks’ data and AI platform, taking part in design, coding and feedback with an assigned mentor. The placement gives students a chance to follow engineering work from an idea through implementation.
Application route and restrictions
Apply through the official London Software Engineering Intern 2027 listing. Databricks asks candidates to apply for one preferred location within a 30-day period. Co-op applications require enrolment in a co-op programme.
The reviewed listing does not specify a closing date or salary figure. Check its current application form and location requirements before submitting.
Prepare a focused engineering application
Select one project that demonstrates how you build and improve software. Explain the user need, your design, your contribution and the tests you used. If you measured performance, describe the test conditions rather than presenting an unexplained percentage improvement.
Data projects are easier to assess when you explain their assumptions. Include how you handled missing values, invalid input or failures, and distinguish a classroom demonstration from a system used by other people. Do not include confidential datasets in a public portfolio.
Review your graduation date and summer availability before applying. Keep the application focused on the engineering role: examples of implementing, debugging and testing a feature are more relevant than an unsupported list of interests. These are editorial suggestions, not additional Databricks eligibility rules.
