Lead Forward Deployed Engineer

GWI

Location: London Office requirement : 2 days in the office - Significant travel required Employment type: Permanent   Seniority level: Principal   At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.   SOUNDS GREAT, WHAT WILL I BE DOING? 🤔 As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title — you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader. A few things you'll be responsible for: 👉 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform — from discovery through to production, including bespoke integrations, data pipelines, and workflow automations. 👉 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes. 👉 Partner with Enterprise AEs in late-stage sales cycles — leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close. 👉 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap. 👉 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs. It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.   WHAT DO I NEED TO BRING WITH ME? 🧳 You’ll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you: 👉 Significant experience in software engineering, solutions engineering, or a customer-facing technical role — with meaningful time spent shipping production code in complex enterprise environments. 👉 Demonstrable experience deploying AI or data-heavy products into large organisations — real production deployments, not just POCs. 👉 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines. 👉 The ability to work through ambiguity and turn it into a concrete technical plan. 👉 Clear communication across technical and business audiences — you can tailor the same idea for an engineering lead and a commercial stakeholder. 👉 Willingness to travel to client sites across the UK and Europe (approximately 30–50% of the time).   Nice to have: 👉 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation. 👉 A background in a high-growth B2B SaaS or AI-native company. 👉 Experience in one or more of GWI's core verticals: financial services, media & agencies, consumer goods, or technology. 👉 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.   Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they’re a big part of what we’re looking for in you. WHAT’S IN IT FOR ME? 🎁 At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes: 🌴 Time to recharge – 25 days’ annual leave, plus office closures over the holidays. 🧘 Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. 💸 Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. 🏡 Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget. 💪 Career growth – Accredited learning, leadership development, and global career mobility. 🌎 Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.   Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.   DIVERSITY, EQUITY & INCLUSION Diversity is fundamental to who we are—both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities. At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully.   #li-hybrid #LI-NIKOSSS1

Databricks

REQ ID: FEQ127R254 Location: Hybrid – London 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 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 customers' 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 * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * 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 * Build skills in technical areas, and 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 preferred but not essential About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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 Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.

Databricks

Requisition # CSQ327R148 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 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 customers' 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 * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * 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 * Build skills in technical areas, and 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 About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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 Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.