Data Engineer (EU/UK Based - Remote)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 95d ago
The date the source published, not the day we noticed it (2026-06-11). Last seen at its source 1h ago.
Is it remote?
EU/UK - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Europe, United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €75k–114.4k/yr
Middle 50% of 81 listings that do state pay — Engineering · all levels · Europe · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky.
We're a fast-moving team on a mission to end it for good. Traction is strong and we're solving real problems for real customers—but to win, we need exceptional talent. We stay humble, do the work, and let results speak.
We're building the AI operations platform for retail and CPG enterprises—a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in.
Where copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. We start with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expand to adjacent functions and sectors.
Velocity is our moat: ship fast, iterate faster, compound learning.
We already collect a lot of data — now we need someone to turn it into leverage. This is not a classic pipelines-and-warehouse hire (that's table stakes). It's an AI-native take on the data role: build the foundations, then build the agents and internal workflows on top that make the whole organization faster and more data-driven.
What you'll own
The data foundation — pipelines, warehouse, the substrate. Necessary, but not the point.
Agents and internal workflows built on top of that foundation — the actual leverage.
Enabling the org (product and beyond) to make faster, data-driven decisions.
This is an AI-native, senior role for someone who builds. You'll work across the data substrate and the agentic layer on top of it, and you'll be measured by how much faster and smarter you make the rest of the team.
TypeScript-first
React and Fastify
Postgres, GCP
Latest AI primitives
Initiative-driven. Organize around customer problems, not org charts.
Customer-obsessed. Features that don't move customer metrics get cut.
Iterative by default. Ship small, learn fast, fix forward.
AI-first leverage. If a tool can do it, a person shouldn't.
Direct feedback. Actionable feedback, given immediately.
Autonomy with accountability. Outcomes over process.
Unlimited AI budget.
Autonomy to do your best work.
A real AI product with real customers.
A sharp, motivated team that values ownership and candor.
Competitive compensation with a meaningful equity component.
Hiring manager screen (30 min).
Remote task (async, time-boxed, ~1 hour).
Technical interview (online, ~1 hour).
On-site trial day (Prague, 2 days), fully compensated.