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Databricks Internships and Early Careers Programme 2026 for Students and New Graduates

Databricks is offering internship and early-career opportunities for students and new graduates who want to build careers in data, artificial intelligence, software engineering, and technology.

The programme gives participants the opportunity to work on real-world projects, solve complex technical challenges, and contribute to products used by some of the world’s leading organisations.


Opportunity Overview

Organisation: Databricks
Programme Type: Internships and Early Careers Programme
Target Group: Students and recent graduates
Fields: Data, AI, Software Engineering, Product Management and Technology
Location: Global opportunities available


About the Databricks Early Careers Programme

Databricks provides career-defining opportunities for students and new graduates through internships and early-career roles.

Participants work on high-impact projects that contribute to the future of data and artificial intelligence. Interns and new graduates become part of teams building solutions that help companies process data, develop AI applications, and solve complex business challenges.


Internship Experience

Databricks interns are given opportunities to:

  • Work on challenging real-world problems
  • Contribute to projects with measurable impact
  • Collaborate with experienced engineers and technology leaders
  • Learn from mentors and team members
  • Develop professional and technical skills

Unlike traditional internships focused on observation, Databricks interns contribute directly to important projects from the beginning.


Available Career Areas

Opportunities are available across areas including:

Software Engineering

Work on scalable systems, applications, infrastructure, and data platforms.

Data Science

Apply data science techniques, machine learning, and analytics to solve complex problems.

Artificial Intelligence

Develop solutions involving AI technologies, deep learning, and large-scale data applications.

Product Management

Help shape product strategy and build solutions for customers.


Ideal Candidate Profile

Databricks is looking for students and graduates who have:

  • A background in computer science or related fields
  • Strong programming skills
  • Interest in data, artificial intelligence, and software engineering
  • Understanding of machine learning or deep learning concepts
  • Experience with software development using technologies such as PyTorch

Candidates should demonstrate curiosity, problem-solving ability, and a passion for building innovative technology.


What Databricks Offers

Successful applicants receive:

  • Professional mentorship
  • Opportunity to work with industry experts
  • Experience solving real customer problems
  • Exposure to advanced data and AI technologies
  • Collaborative team environment
  • Career development opportunities

Interview Preparation

The Databricks interview process depends on the role applied for.

Software Engineering Candidates

Prepare by reviewing:

  • Data structures and algorithms
  • Coding fundamentals
  • Code quality and problem-solving approaches

Data Science Candidates

Prepare by reviewing:

  • Data science fundamentals
  • Data processing concepts
  • Data manipulation and coding skills

Product Management Candidates

Prepare by reviewing:

  • Product management principles
  • Leadership skills
  • Product strategy concepts

Why Apply for Databricks?

Databricks provides students and graduates with the opportunity to:

  • Build expertise in one of the fastest-growing areas of technology
  • Work on data and AI innovations
  • Gain experience at a global technology company
  • Develop skills needed for future technology careers

How to Apply

Interested candidates can explore available Databricks University Recruiting opportunities through the company’s careers portal and apply for suitable internship or graduate positions.

Applicants should prepare:

  • Updated CV/resume
  • Academic qualifications
  • Technical project experience
  • Portfolio or GitHub profile where relevant

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