Data Engineer

Reposted 12 Days Ago
4 Locations
In-Office
224K-279K Annually
Mid level
Artificial Intelligence • Software
The Role
Build and operate production data pipelines integrating ERP/ATS/project management/telemetry into a queryable layer. Own the data model for a live knowledge graph. Ship SLA-backed datasets/services for tools and ML. Convert unstructured vendor/field data (PDFs, spreadsheets) into trusted structured inputs. Ensure data quality via tests, monitoring, and lineage, and use modern data stacks and LLM tools responsibly.
Summary Generated by Built In
About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.


We hire people who care deeply about this problem space. If that is you, please apply!

How We Operate
  • Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.

  • Insane urgency. We drive everything forward as fast as possible.

  • Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

  • Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.

Role Scope
  • Build the pipelines that pull every system the company runs on, ERP, ATS, project management, construction software, telemetry, into one queryable layer.

  • Own the data model behind the company's live knowledge graph: entities for sites, equipment, schedules, and people that tools and agents build on.

  • Ship datasets and services with SLAs that internal tools, dashboards, and ML models depend on daily.

  • Turn messy vendor and field data, PDFs, spreadsheets, exports, into structured, trustworthy inputs.

What We're Looking For
  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

  • You've built and operated production data pipelines that other teams' products depended on.

  • You've modeled a messy real-world domain into schemas that held up as the business changed.

  • You treat data quality as an engineering problem: tests, monitoring, and lineage, not spot checks.

  • You've done real work extracting structure from unstructured sources.

  • You move fast with AI tools and modern data stacks without leaving a swamp behind.

  • Bonus: Postgres, dbt, or warehouse internals. Streaming and eventing. LLM-based extraction. Construction, manufacturing, or supply chain data.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

Skills Required

  • Built and operated production data pipelines that other teams depended on.
  • Modeled messy real-world domains into durable schemas.
  • Treat data quality as an engineering problem using tests, monitoring, and lineage.
  • Experience extracting structure from unstructured sources (PDFs, spreadsheets, vendor exports).
  • Ability to move fast with AI tools and modern data stacks without creating technical debt.
  • Experience with Postgres, dbt, or warehouse internals.
  • Experience with streaming and eventing architectures.
  • Experience with LLM-based extraction or other LLM tooling.
  • Domain experience in construction, manufacturing, or supply chain data.
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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