📍
Amsterdam, Netherlands

Software Engineering Intern (2026)

Internship
Technology & Digital
Software engineering
Posted:
December 29, 2025

Databricks

Data intelligence platform for businesses
77.5
Palpable Score
Apply >view company >

As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2025 intern cohort where you'll connect with engineers, other interns, and leaders from across the company.

We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days.

The impact you will have:

What we look for:

This is a Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program.

About the company

Databricks

Company overview
Databricks builds a cloud platform used by data teams to run analytics, data engineering, and AI workloads in one place, often described as a “lakehouse” approach. The company sells to enterprises that want to unify data pipelines, BI, and machine learning on major clouds. Databricks is closely associated with Apache Spark’s origins and supports open-source projects used widely in data engineering and ML workflows. The company’s customers range from large enterprises to fast-growing tech companies building data products.

Locations and presence

Databricks is headquartered in San Francisco and lists many offices across the Americas, EMEA, and Asia-Pacific. The company describes a hybrid setup built around weekly “Team Day” in-office time, with most work happening from home, and notes that some roles are fully remote.

Palpable Score

77.5
/ 100
Databricks offers clear, recurring entry points for students and new grads, and the company backs that up with cohort-style roles and explicit mentorship language in early-career job postings. Databricks also publishes candidate-facing guidance on the hiring process and shares pay bands on at least some early-career roles, which is a practical signal of transparency. The main limiter is mixed public candidate and employee feedback on consistency, especially around responsiveness and clarity of progression, and the lack of published early-career outcomes data.
view full company profile >

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