Sr. Sourcer, Tech [Maternity Cover]
Quick Summary
Mission We are looking for a Technical Sourcer to help us grow our engineering offices in EMEA.
We are looking for a Technical Sourcer to help us grow our engineering offices in EMEA. You will be the driving force behind finding and engaging with some of the finest talent in the industry as we continue to scale the Databricks expansion in Europe.
Sourcers at Databricks are subject-matter experts in talent attraction and are given full autonomy to bring new ideas and creative approaches to life.
You will work with hiring managers as a strategic partner, advising on things such as sourcing strategies, passive engagement strategies, competitive intelligence, DEI, and talent insights. You will have an opportunity to work on multiple positions across Engineering.
- Drive talent acquisition efforts by extensively sourcing and engaging with highly skilled professionals.
- Contribute to the growth and success of Databricks in EMEA by building a strong pipeline of top-tier candidates.
- Collaborate with the EMEA recruiting team and hiring managers to understand the hiring needs and develop effective sourcing strategies.
- Ensure a positive candidate experience throughout the sourcing and evaluation process, acting as a brand ambassador for Databricks.
- Play a key role in building a diverse and inclusive workforce, promoting equal opportunity and representation in technical roles.
- Proven experience as a Sourcer or similar role in the technology industry.
- Strong understanding of technical roles, and the ability to effectively assess candidates' technical skills across all experience levels (Entry to Senior)
- Extremely hands-on with sourcing, leveraging different tools & platforms to source & recruit strong Tech talent.
- Expertise in hiring Software Engineers across domains like Big Data, ML, Infrastructure, Databases, Storage etc is a plus
- A relevant university degree is required
- Excellent communication and interpersonal skills, with the ability to engage candidates, build relationships, and effectively represent Databricks' values and culture.
- Familiarity with applicant tracking systems (ATS) and other recruitment software for efficient candidate management and tracking.
- Someone who thinks beyond the usual tools and creates innovative solutions to finding, engaging & hiring the very best people.
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
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.
Location & Eligibility
Listing Details
- Posted
- June 26, 2026
- First seen
- June 26, 2026
- Last seen
- June 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- June 26, 2026
Signal breakdown

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.
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