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- Tasks: Design and deliver custom fullstack applications for strategic customers using cutting-edge data and AI solutions.
- Company: Join Databricks, a leading data and AI company with a collaborative culture.
- Benefits: Enjoy competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex problems at the intersection of technology and business.
- Qualifications: Strong software engineering background with skills in Python, SQL, and modern frameworks.
- Other info: Dynamic role with travel opportunities and excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
Databricks is the data and AI company. More than 10,000 organizations worldwide 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 SparkTM, Delta Lake, and MLflow.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Forward Deployed Engineer (FDE) in London employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer (FDE) in London
✨Tip Number 1
Get to know the company inside out! Research Databricks, their products, and recent projects. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even referrals that could boost your chances.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design principles. Practice common algorithms and data structures to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Forward Deployed Engineer (FDE) in London
Some tips for your application 🫡
Show Your Engineering Skills: Make sure to highlight your software engineering background in your application. We want to see your experience with backend, frontend, and systems integration, especially with languages like Python, SQL, and Java/Scala.
Demonstrate Customer Impact: Share examples of how you've delivered technical solutions that made a difference in enterprise environments. We love seeing measurable outcomes, so don’t hold back on the details!
Be Curious and Adaptable: We value a learning mindset! In your application, mention any new technologies or domains you've explored recently. Show us your eagerness to tackle customer challenges and adapt to new situations.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into the process smoothly. We can’t wait to hear from you!
How to prepare for a job interview at Menlo Ventures
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and Java/Scala. Brush up on your full-stack development skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in previous roles. Highlight your adaptability and curiosity by discussing how you approached challenges and what innovative solutions you implemented.
✨Engage with Customer Scenarios
Since this role is customer-facing, think about how you would approach working directly with clients. Be ready to discuss how you would gather requirements, engage stakeholders, and ensure that your solutions meet their needs.
✨Demonstrate Collaboration
This position requires cross-functional collaboration, so prepare to talk about your experiences working with diverse teams. Share examples of how you’ve communicated complex concepts to non-technical stakeholders and how you’ve contributed to a seamless project journey.
