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Databricks

Business Development Representative (German-speaking, DACH)

Munich, Germany

Location
Munich, Germany
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Sales
Pay
Not stated
Posted
7 days ago

About the role

SLSQ427R1138

Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world's toughest problems.

We're looking for a Business Development Representative to represent Databricks to prospective customers in the DACH region! This role is perfect for a sales professional early on in their career, looking to help scale out a game-changing enterprise software company and develop their sales career. Reporting to the BDR manager for DACH, you will be part of a dynamic team of like-minded individuals and have the opportunity to really make a difference in a budding regional team. This role will be hybrid in our Munich office (3 days in the office, 2 days from home).

The impact you will have

  • Rapidly develop your skill-set around value-based selling, big data and AI
  • Provide a great customer experience for Databricks' prospective customers
  • Conduct account and prospect research to inform and develop compelling outreach campaigns to increase engagement in a large variety of accounts
  • Maintain active inbound and outbound communications with prospects using tailored follow-up, including personalised email, cold calling and social selling
  • Partner with the wider sales team to develop a territory strategy, build a pipeline, and increase adoption
  • Uncover and identify client needs and progress conversations into sales opportunities through communicating how Databricks will meet them effectively

What we look for

  • Relevant experience in a professional environment
  • Prior successful sales experience is preferred, but not necessary
  • Determination to succeed, learn and build the next best enterprise software company
  • Consistent, measurable over-achievement in past experiences
  • Active listening and questioning in phone-based and in-person scenarios
  • A genuine interest in big data/AI
  • Positive contributor to team and company culture
  • Fluency in English and German is required (minimum C1 proficiency in both, native fluency preferred)

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Source

Posted by Databricks on their own hiring page, databricks.com. OptiTalent shows it as published, read 06 Nov 2026 23:45 UTC; the original is the reference.

View the original ad ↗

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