2,073,632open jobs
122,989companies
240,852added this week
Browse all
Salary
≈ $106k – $251k per year (Estimated)
Location
In office (London)
Visa
Licensed UK visa sponsor

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 28, 2026. Databricks scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Databricks is an American software company founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow at the University of California, Berkeley. Its data intelligence platform unifies data engineering, warehousing, governance, analytics and machine learning on a lakehouse architecture that stores open table formats in a customer's own cloud object storage. Headquartered in San Francisco and available on AWS, Azure and Google Cloud, the platform is used by tens of thousands of organisations to build pipelines, dashboards and production AI applications.

About the Team

The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions.  This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation.

Role Description

As a  Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

  • Own the Architecture:  Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Application Engineering:  Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
  • Solution Delivery:  Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
  • Customer Immersion:  Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Cross-Functional Collaboration:  Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
  • Reusable Assets & Scale:  Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

  • Engineering Depth:  Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
  • Application Delivery:  Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • AI/ML Experience:  Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
  • Customer Impact:  Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
  • Collaboration & Communication:  Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
  • Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.
  • Ability and interest to travel up to 50% as needed to client sites.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,073,632 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Solutions
Similar stack
Same company
London
≈ $103k – $187k per year (Estimated) · In office · London
Apply
Technical Consultant 3 hours ago
$58k – $87k per year · Remote (United Kingdom) · Full-Time · Watford
Apply
≈ $62k – $148k per year (Estimated) · Hybrid · Contractor · Bath
Apply
≈ $82k – $149k per year (Estimated) · Hybrid · Full-Time · 1+ year exp · London
Apply
≈ $110k – $244k per year (Estimated) · Hybrid · Full-Time · London
Apply
In office · Full-Time · Bachelor's Degree · Paris · London
SAS
Management
Agile
Apply
≈ $162k – $298k per year (Estimated) · In office · Full-Time · London
SAS
Apply
≈ $44k – $69k per year (Estimated) · Hybrid · Full-Time · London · Paris
Apply
DevOps Engineer 23 min ago
≈ $70k – $156k per year (Estimated) · In office · Full-Time · London · Cambridge
Python
Bash
AI/ML
MLFlow
Machine Learning
DevOps
Terraform
OpenTofu
Prometheus
CI/CD
GitOps
AWS
Kubernetes
Grafana
SRE
GitLab
Amazon CloudWatch
Linux
Cybersecurity
Least Privilege
MedTech
21 CFR Part 11
DICOM
Apply
≈ $86k – $148k per year (Estimated) · Remote (United Kingdom) · Full-Time · Master's Degree · London
Apply
See all jobs
This is one of many
2,073,632 more open roles from verified company boards, updated every day.