Forward Deployed Engineer

Job description

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

Extra information

Status

Open

Education Level

Secondary School

Location

London Area

Type of Contract

Full-time jobs

Published at

05-02-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English