---
title: 'Recruiter, GTM & Field Engineering at Databricks'
canonical: 'https://feeny.ai/job/recruiter-gtm-field-engineering-databricks-london-9yb20xg2j6v3'
type: 'job'
last_seen: '2026-09-05'
---

# Recruiter, GTM & Field Engineering at Databricks

- **Company:** Databricks
- **Location:** London, United Kingdom
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-05
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8771700002

## Job description

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.

## What we look for

- 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

## Other roles at Databricks

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- [Strategic Enterprise Account Executive, State and Local](https://feeny.ai/job/strategic-enterprise-account-executive-state-and-local-databricks-new-york-9nxnagrrk57h) — New York, NY
- [Sr. Recruiter, GTM & Field Engineering](https://feeny.ai/job/sr-recruiter-gtm-field-engineering-databricks-london-kcp6d3mm21sh) — London, United Kingdom
- [Executive Assistant, R&D](https://feeny.ai/job/executive-assistant-r-d-databricks-belgrade-cyhdd10ajyr8) — Belgrade, Serbia
- [Staff Forward Deployed Engineer](https://feeny.ai/job/staff-forward-deployed-engineer-databricks-berlin-cmntcda7q98y) — Berlin, Germany / Munich, Germany
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- [Enterprise Geo Hunter Account Executive - Financial Services](https://feeny.ai/job/enterprise-geo-hunter-account-executive-financial-services-databricks-northeast-0bbs8dp2bafw) — Northeast, United States
- [Solutions Architect (Genie)](https://feeny.ai/job/solutions-architect-genie-databricks-bengaluru-czws9caf45ay) — Bengaluru, India / Delhi, India / Mumbai, India
- [Sr. Solutions Architect (CustomerLake)](https://feeny.ai/job/sr-solutions-architect-customerlake-databricks-tokyo-2b6w41hnhdwp) — Tokyo, Japan
- [Solutions Architect](https://feeny.ai/job/solutions-architect-databricks-singapore-931nretkw3j0) — Singapore