Forward Deployed Engineer
hace 5 días
City of London
Forward Deployed Data Engineer (Enterprise Platform / AI-Enabled Systems) Salary: £45,000 – £75,000 (DOE) Location: London (Hybrid – 3 days onsite) The Opportunity We’re partnering with a fast-growing B2B SaaS company building an advanced enterprise data and AI platform used by large, global organisations. They’re hiring a Forward Deployed Data Engineer — a hands-on, customer-facing role for engineers who enjoy solving real business problems and seeing their work live in production. This is not a traditional “support” role. You’ll act as an extension of the product and engineering team, working directly with customers to adapt and deploy the platform in high-impact environments. If you enjoy ownership, context, and variety — and don’t want to spend your career just building internal pipelines — this role offers something different. What You’ll Be Doing (In Practice) • Work directly with enterprise customers to deploy and adapt the platform in production, • Take loosely defined business problems and turn them into working data solutions, • Configure and extend the platform to fit different customer contexts and priorities, • Design and implement AI-enabled workflows that support decision-making and automation, • Build and maintain data integrations using Python, PySpark, SQL, and distributed systems, • Partner with customers to define success metrics and ensure solutions deliver real outcomes, • Feed learnings from the field back into the product and engineering teams You’ll be trusted with meaningful responsibility, but supported by experienced engineers and product leaders. What They’re Looking For • 2–4+ years’ experience in data engineering, analytics engineering, or similar roles, • Comfortable working with ambiguous requirements and evolving priorities, • Strong fundamentals in Python, SQL, and working with large or complex datasets, • The ability to explain technical concepts clearly to non-technical stakeholders, • A mindset oriented around ownership, problem-solving, and outcomes Experience in startups, scale-ups, or consultancies is helpful — but not required. Nice to Have (Not Required) • Experience with tools like Databricks, dbt, Airflow, or similar platforms, • Some exposure to API development or backend systems, • Experience integrating enterprise systems (ERP, CRM, operational platforms), • Familiarity with dashboards or data visualisation tools, • Exposure to AI-enabled workflows or automation If you don’t tick every box, that’s okay — they’re more interested in how you think than what tools you’ve used. Why This Role Appeals to Engineers • High ownership and visible impact — your work goes live with real customers, • Variety: each deployment brings new challenges and learning, • Close collaboration with product, engineering, and senior customer stakeholders, • Strong exposure to enterprise-scale data and AI use cases, • Competitive salary, meaningful equity, and clear progression opportunities, • Hybrid working, modern London office, and a mission-driven culture