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Data Engineer (EU/UK Based - Remote)

Role overview

Qualifications

  • Experience in building data foundations
  • Proficiency in TypeScript, React, and Fastify
  • Familiarity with databases like Postgres and GCP
  • Understanding of AI-driven workflows

Responsibilities

  • Build the data foundation including pipelines and warehouse
  • Develop agents and internal workflows to enhance organizational efficiency
  • Enable the organization to make faster, data-driven decisions
  • Measure success by improving team speed and intelligence

About the company

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duvo.ai

Company details

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Job description

Who we are

 

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.

 

What we are building

 

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.

 

The role

 

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.

 
 

Our tech stack

 
  • TypeScript-first

  • React and Fastify

  • Postgres, GCP

  • Latest AI primitives

 

How we work

 
  • 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.

 

What we offer

 
  • 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.

 

How we hire

 
  1. Hiring manager screen (30 min).

  2. Remote task (async, time-boxed, ~1 hour).

  3. Technical interview (online, ~1 hour).

  4. On-site trial day (Prague, 2 days), fully compensated.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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