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Databricks jobs & internships

14 active listings at Databricks right now, with what the company says about working there below.

Databricks hiring snapshot

Locations

  • London (6)
  • Zürich (5)
  • Europe (2)
  • Paris (1)

Work mode

  • Hybrid (1)

Frequently listed skills

AI (4)AWS (2)Azure (2)Excel (1)GCP (1)JavaScript (1)Python (1)Teamwork (1)
Courses: B.E4 fresher-friendly listings

Careers at Databricks

Databricks describes its workforce as a group of innovators, builders, and truthseekers. The company emphasizes a culture that supports ambitious professionals and prioritizes an inclusive, supportive environment that values diverse backgrounds and perspectives. Databricks maintains a global presence with over 10,000 employees across more than 30 offices in over 20 countries. The company offers a wide range of career opportunities across various departments, including engineering, sales, marketing, product, and legal. Additionally, Databricks provides a university program for interns and new graduates, allowing them to participate in the development of the company's platform through initiatives like engineering hackathons.

  • Workforce includes over 10,000 employees globally.
  • Hiring across departments such as engineering, sales, and product.
  • Offers a university program for interns and new graduates.
  • Maintains offices in over 20 countries.
  • Provides flexible work arrangements and employee benefits.

Source: databricks.com

Technology and engineering at Databricks

Databricks provides a unified platform for data engineering and application development, focusing on agentic AI and serverless infrastructure. Its data engineering suite, Lakeflow, enables teams to ingest, transform, and orchestrate data pipelines using natural language and automated resource optimization. The platform supports batch and real-time processing, integrated with Apache Spark and Unity Catalog for governance. For application development, Databricks offers tools to build and scale AI agents and interactive applications directly on enterprise data. Developers can utilize open frameworks and Git-based workflows to deploy applications via Databricks Apps, which provides a managed serverless runtime. Additionally, Lakebase serves as a serverless Postgres engine within the lakehouse, allowing for instant branching and experimentation. The ecosystem supports various foundation models, including Claude, GPT, Gemini, DeepSeek, and Llama, facilitating the creation of AI assistants, ML-powered applications, and automated business processes.

  • Lakeflow provides unified data engineering with automated resource optimization.
  • Unity Catalog offers governance for data and AI assets.
  • Databricks Apps enables managed serverless deployment for interactive UIs.
  • Lakebase provides a serverless Postgres engine for application state and memory.
  • Agent Bricks supports the deployment of AI agents using various foundation models.

Source: databricks.com, databricks.com

Products and services of Databricks

Databricks offers the Data + AI Platform, which is built on a lakehouse architecture that integrates data lakes and data warehouses. This platform is designed to unify data, analytics, and artificial intelligence workloads, supporting both structured and unstructured data. It provides tools for data engineering, data warehousing, data science, real-time streaming, and machine learning. The platform is built on open source standards, including Apache Spark, Delta Lake, and MLflow, to ensure interoperability and avoid proprietary lock-in. Additionally, Databricks provides Solution Accelerators, which are functional notebooks and best practices designed to speed up data and AI-driven outcomes. The company also offers Model Serving capabilities and Delta Sharing for secure data exchange without replication.

  • Provides a unified Data + AI Platform based on lakehouse architecture.
  • Supports data engineering, warehousing, AI, and machine learning workloads.
  • Utilizes open source technologies like Apache Spark, Delta Lake, and MLflow.
  • Offers Solution Accelerators to expedite data and AI project development.
  • Includes Model Serving and Delta Sharing for data management and exchange.

Source: databricks.com, databricks.com

History of Databricks

Databricks was founded in 2013, with its origins rooted in academia and the open source community. The company was established by the original creators of the lakehouse architecture and several key open source projects, including Apache Spark, Delta Lake, MLflow, and Unity Catalog. Headquartered in San Francisco, the company has since grown to serve more than 20,000 organizations worldwide.

  • Founded in 2013.
  • Founded by the creators of the lakehouse architecture.
  • Creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog.
  • Headquartered in San Francisco.

Source: databricks.com

What Databricks does

Databricks is a data and AI company that provides a unified platform built on an open lakehouse architecture. The platform is designed to help organizations manage data, analytics, and AI governance in one place, enabling both technical teams and general users to build, deploy, and manage production-ready applications and AI agents. Founded in 2013 by the creators of the lakehouse architecture and several open-source projects, the company focuses on democratizing data insights through automation and natural language tools. Databricks serves over 20,000 customers globally, including more than 60% to 70% of the Fortune 500. Headquartered in San Francisco, the company maintains a global presence supported by a network of over 1,200 cloud, ISV, and consulting partners.

  • Provides a unified Data + AI Platform based on open lakehouse architecture.
  • Supports data engineering, warehousing, AI agent development, and business intelligence.
  • Founded in 2013 by the creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog.
  • Serves over 20,000 customers worldwide.
  • Used by more than 60% of the Fortune 500.

Source: databricks.com, databricks.com

Open roles at Databricks

Forward Deployed Engineering - Senior Architect

Databricks

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Londonfull-time
Top Company
Any GraduateArbeitnow# Python# JavaScript# TypeScript# AWS+3 more

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platfo...

0-1 year experience eligible.

Apply now →

Pre-sales Engineering Manager (retail & CPG)

Databricks

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Londonfull-time
Top Company
HybridB.EArbeitnow# AI# Teamwork

(FEQ427R369) As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, help...

0-1 year experience eligible.

Apply now →

Startup Core Account Executive

Databricks

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Londonfull-time
Top Company
B.EArbeitnow# AI# Excel

SLSQ427R716 Want to join a fast-growth pre-IPO organisation that could define the next stage of your career? Reporting to the Director for Startups as an Accoun...

0-1 year experience eligible.

Apply now →

Strategic Account Executive - Banking

Databricks

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Londonfull-time
Top Company
Any GraduateArbeitnow# AWS# Azure# AI

SLSQ427R686 Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As an Strategic Enterprise Accoun...

0-1 year experience eligible.

Apply now →

Startup Hunter Account Executive, France

Databricks

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Parisfull-time
Top Company
Arbeitnow

Reporting to the Regional Sales Manager for South Europe, as a Startup Hunter Account Executive at Databricks, you will focus on acquiring new accounts across F...

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Sr. Solutions Architect

Databricks

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Londonfull-time
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Arbeitnow

REQ ID: FEQ427R344 Location: London, UK Recruiter: Kanwal Matharu At Databricks, our core values are at the heart of everything we do; creating a culture of pro...

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Specialist Solutions Architect (SSA) (cloud Infrastructure)

Databricks

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Londonfull-time
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Arbeitnow

ReqID: FEQ427R340 Location: London Skills: Networking, Security, Platform, DevOps, Databricks, Cloud - AWS, GCP, Azure, Infrastructure The Role As an Infrastruc...

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Staff Security Engineer, Incident Response

Databricks

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Europefull-time
Top Company
Arbeitnow

RDQ327R180 Staff Security Engineer, Incident Response The Incident Response team's mission is to respond to security threats, incidents and investigations to pr...

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Sr. Forward Deployed Engineer - FDE (fullstack)

Databricks

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Zürichfull-time
Top Company
Arbeitnow

CSQ427R397 As a Sr Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Dat...

Apply now →

Senior Staff Software Engineer - Delta

Databricks

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Zürichfull-time
Top Company
Arbeitnow

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development...

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Manager, Field Engineering - Polish Speaker

Databricks

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Zürichfull-time
Top Company
Arbeitnow

FEQ427R475 As a Field Engineering Manager , you will lead, coach, and scale a high-performing team of technical pre-sales Solutions Architects and Solutions Eng...

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Solutions Architect - CPG And Manufacturing

Databricks

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Zürichfull-time
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Arbeitnow

FEQ427R473 As a Solutions Architect, you will contribute to the technical strategy for your customers — owning architecture discussions, driving platform adopti...

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Lakebase Sales Specialist, Associate Director (switzerland, Austria, Eastern Europe)

Databricks

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Zürichfull-time
Top Company
Arbeitnow

SLSQ327R343 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase , our fully...

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Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

Databricks

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Europefull-time
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Arbeitnow

REQ ID: FEQ227R147 Location: United Kingdom (Remote/Hybrid — London or UK-based) Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Archi...

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