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Senior Data Engineer
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Forward Deployed Data Engineer | The last mile of enterprise AI
London / Hybrid
We’re hiring for a unique opportunity at a fast-growing AI SaaS start-up with a standout product and serious traction. VC backed by high-profile investors and already profitable, they’re scaling their team to meet demand across multiple levels.
They're hiring a Forward Deployed Data Engineer to sit right where the platform meets the client, building and adapting complex data integrations and GenAI workflows directly inside customer environments, not just shipping code and hoping it lands.
You'll be:
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- Executing complex data integration using PySpark and distributed tech
- Designing and implementing GenAI workflows on platforms like Palantir AIP
- Working directly with clients to translate ambiguous, real-world problems into clean, maintainable pipelines
- Owning the success of live implementations, end to end
The environment is fast, hands-on and close to the customer — you'll be as much a problem-solver as an engineer.
This will be a great fit if you have:
- Experience in data engineering, analytics engineering, or product-focused engineering roles
- Excellent PySpark, Python and SQL fundamentals
- Startup energy, or experience at a top-tier consultancy
- The ability to pick up new tech fast
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You don't need prior AI experience. You do need to enjoy figuring out problems that don't come with a neat spec.
There's genuine scope to shape how implementation gets done here, work closely with an experienced founding team, and take on real client-facing ownership early.
If you're excited by data, product, real-world impact and want to take your career to the next level, apply below.
Please note, Visa sponsorship is not available for this particular position
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