Fractionals Send your requirement
People talking at the far end of a long wooden meeting table in afternoon light

Forward deployed engineers for data pipelines

Use cases / Data pipelines

Every AI project becomes a data project in the end. Forward deployed engineers for data pipelines join your team, part of the week or for a fixed period, and give your models and reports data people trust. You tell us who you need. We send people who fit.

Send your requirement
  • No deposit to get started
  • Every requirement read by us
  • A best-fit shortlist, not a pile of CVs
  • One agreement, one invoice

Why data work needs an owner

Your model is only as good as last night's load

Pipelines break quietly. A field changes in the CRM, a supplier file arrives late, or a join duplicates rows. The dashboard or model downstream is wrong for days before anyone notices.

A forward deployed engineer learns where your data comes from by talking to the people who own each system. They build pipelines with tests and alerts, and document them so your team can run them after.

Tell us the role and the hours. We send you a shortlist of people who fit.

  • No deposit to get started
  • Every requirement read by us
  • A best-fit shortlist, not a pile of CVs
  • One agreement, one invoice
Send your requirement

What the work covers

What forward deployed engineers for data pipelines own

  • Source system connectors ERP, CRM, billing, product databases and partner files brought into one place on a schedule you can rely on.
  • Clean, modelled tables Documented tables with business definitions agreed with finance and operations, not reinvented in every dashboard.
  • Data quality tests and alerts Checks on freshness, volume and key fields, with alerts that reach someone before the numbers reach a meeting.
  • Feeds for AI systems Features, embeddings and document stores kept in step with source data, so models and agents work on current information.

How hiring an engineer for your pipelines works

  1. 01

    Send your requirement

    Tell us the pipeline, the sources, who uses the output and the one question they cannot answer today. It is free, and there is no deposit.

  2. 02

    Get a shortlist

    We read every requirement ourselves and look for people who fit. Then we send a shortlist: each person's CV and a short note on why they fit.

  3. 03

    Talk to them and choose

    You talk to whoever you like and choose. Expect good candidates to ask who owns each source system. You do not have to hire anyone.

  4. 04

    Pay only when someone starts

    One agreement and one invoice with us, on terms agreed in writing before anything starts. Talent never pays.

Constraints

What shapes the design

  • A man in a navy jumper smiling at a meeting table with coffee and a notebook
    Data residency and retention Where data may be stored, and for how long, is often set by contract or regulation. Pipelines follow it from the start.
  • A small team around a meeting table, one standing to talk while the others listen
    Personal data Personal fields are minimised, masked or kept out of analytics and AI use unless there is a clear basis.
  • A man smiling across a table while a colleague in the foreground talks
    Source system load Extracts run without slowing production systems, using replicas, change data capture or off-peak windows.
  • A small team around a meeting table, one standing to talk while the others listen
    Lineage Every table traces back to its sources, so anyone can answer "where did this number come from".

Tell us the role and the hours. We send you a shortlist of people who fit.

  • No deposit to get started
  • Every requirement read by us
  • A best-fit shortlist, not a pile of CVs
  • One agreement, one invoice
Send your requirement

Hiring in-house or a forward deployed engineer

Permanent data engineer

  • Right once you need a standing data team
  • A long hiring process for a senior profile
  • The first hire often ends up doing everything alone
  • Fixed cost whatever the backlog

Forward deployed engineer through us

  • Works on the pipelines that matter now
  • Builds tests, alerts and docs as part of the job
  • Sets up patterns a future hire can follow
  • You pay only when someone starts

For companies

Tell us who you need.

Send your requirement. It is free and there is no deposit. We read it ourselves and send you a shortlist of people who fit. You pay only when someone starts.

Send your requirement
  • No deposit to get started
  • Every requirement read by us
  • A best-fit shortlist, not a pile of CVs
  • One agreement, one invoice

Fees, how it works and related use cases

Get started

Tell us what you need.

Send your requirement. We send you a shortlist of senior leaders who fit. One agreement and one invoice, with the terms agreed in writing before anything starts.

  • No deposit to get started
  • Every requirement read by us
  • A best-fit shortlist, not a pile of CVs
  • One agreement, one invoice
Which side are you on?

Send your requirement

  • No deposit to get started
  • Every requirement read by us
  • A best-fit shortlist, not a pile of CVs
  • One agreement, one invoice

Apply to join

Talent never pays to apply, be shortlisted or be placed.

Availability, days per week

FAQ

Questions people ask

Which tools will the engineer use?

Usually the warehouse and orchestration tools you already have. If you have none, the engineer proposes a small, standard stack your team can run.

Can they work with on-premise databases?

Yes. Many pipelines start from on-premise ERP or SQL Server systems. Mention network access in your requirement.

Will this help our AI projects?

That is often the point. Clean, current data is what makes retrieval, agents and models reliable.

Who owns the pipelines afterwards?

You should. Ask for the code to live in your repos from the start, with runbooks and docs handed over.

Explore more