Recruiter, GTM Field Engineering
Databricks
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What engineering roles keep asking for: AWS (17%), Python (14%) — counted across their open postings here.
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Preparing for this interview
Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Databricks.
Questions you are likely to be asked
- Why do you want to join Databricks?
- What is your experience with Databricks? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
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Practise the Recruiter, GTM Field Engineering at Databricks interview free →GAQ427R208
We're looking for a Recruiter to join our EMEA Talent Acquisition team, supporting hiring across Field Engineering and GTM. This is a sourcing-led role: you will spend the majority of your time in the market — mapping talent, running outbound campaigns, and building relationships with passive candidates long before we have a role to fill. You will own full-cycle hiring for our early career and individual contributor roles, and partner with senior recruiters on more complex searches. You will report directly to the Manager, EMEA Talent Acquisition. This is a strong fit if you want to build deep technical sourcing skills in the Data and AI space and grow into a senior, business-facing recruiting career.
The impact you will have
- Own full-cycle hiring for entry to mid-level Field Engineering roles across EMEA — Associate and mid-level Solutions Architects, Solutions Engineers, Delivery Solutions Architects, and similar.
- Run creative, high-quality outbound sourcing: build target lists, write outreach that people actually reply to, and keep a healthy pipeline of engaged passive candidates.
- Build market maps and talent pools by market, skill and competitor, and keep them warm so we can move quickly when headcount opens.
- Partner with hiring managers and senior recruiters on intake, calibration and candidate feedback, and keep them informed with clear, regular updates.
- Give every candidate a great experience — fast, honest communication and a well-run process from first message to offer.
- Keep our data clean and useful: accurate ATS hygiene, reliable reporting on funnel and sourcing performance, and insight on what channels are actually working.
- Contribute to how we source: test new tools, channels and outreach approaches, and share what you learn with the wider team.
- Experience sourcing and recruiting in-house or in agency, ideally within software, SaaS, or the Data and AI space.
- Demonstrable outbound sourcing ability — you can talk us through how you find and engage hard-to-reach candidates, not just how you manage inbound applications.
- Comfort recruiting technical, customer-facing profiles, or a clear track record of learning technical domains quickly.
- Strong written communication and a genuine interest in candidate experience.
- Comfortable working with data and using it to prioritise your time and influence decisions.
- Highly organised, able to run several searches at once across multiple EMEA markets and time zones.
- Curious, collaborative and keen to grow — you want feedback and you act on it.
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.
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Listed on greenhouse · posted 2026-09-04. ApplySarthi collects openings and links to application pages; the role is advertised by Databricks, not by us.