At a Glance
- Tasks: Build and implement data solutions using the Databricks platform for diverse customers.
- Company: Join a leading tech company focused on data and AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a chance to work closely with clients.
- Why this job: Make a real impact by solving complex data challenges with cutting-edge technology.
- Qualifications: Experience in data engineering and familiarity with cloud ecosystems required.
The predicted salary is between 60000 - 80000 £ per year.
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end‑to‑end systems spanning data engineering, AI, and application development. We work cross‑functionally to shape long‑term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands‑on, customer‑facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
- Production Solution Delivery: Lead impactful customer technical projects by delivering production‑grade systems, designing and building reference architectures, custom applications, and data ingestion and ML/AI model integration.
- Transformational Impact: Guide strategic customers as they implement transformational big data projects including end‑to‑end design, build and deployment of industry‑leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer.
- Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customer’s successful understanding, evaluation and adoption of Databricks.
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
What we look for:
- Extensive experience in data engineering, data platforms & analytics, or software engineering.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps, ML/AI models and AI APIs.
- Design and deployment of performant production end‑to‑end data architectures and applications that combine data pipelines, ML/AI models, and user‑facing interfaces.
- Experience with technical project delivery – managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
- Documentation and white‑boarding skills.
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
- Demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks‑based solutions to complete customer projects.
- Travel to customers 20% of the time.
- Databricks Certification.
Forward Deployed Engineer in London employer: Databricks Inc.
At Databricks, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Forward Deployed Engineer, you will have the opportunity to work closely with clients, driving impactful data and AI solutions while continuously developing your skills in a supportive environment. Our commitment to employee growth, coupled with the chance to engage with cutting-edge technology and diverse teams, makes Databricks a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer in London
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We think you need these skills to ace Forward Deployed Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Databricks Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Databricks Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Databricks Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Databricks Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
