Collective

Collective

A multi-disciplinary collective of architects and engineers focused on technical excellence.

Christopher

Christopher De Coster

Managing Partner

Tom Short

Tom De Cort

Managing Partner

wannes

Wannes Lamberts

Data Engineer

TBD

[Asset Pending]

Data Analyst

Join the Collective

We're growing — and we're looking for people who think in data.

Pykes Partners is expanding. We work at the intersection of data, business, and decision-making: building the validated foundations that companies actually run on, and the AI-native analytics — the Agent — that lets them ask questions of their own truth.

If you recognise yourself in that, we'd like to meet you.

Who we're looking for

We're deliberately open on the profile. We care more about how you think than which tool is on your CV. You might be a data engineer, an analytics or BI specialist, a data modeller, or someone working hands-on with AI on top of real business data. What the best people here share:

  • A strong analytical, problem-solving instinct — you're drawn to the messy question, not just the clean dashboard.
  • Real fluency somewhere in the modern data stack: warehousing and modelling, transformation (dbt and ETL/ELT), BI and visualisation, or applied AI on enterprise data.
  • The judgement to turn data into clear, actionable insight — and the communication to make it land with people who aren't technical.
  • Comfort working independently in a hybrid team, and the reliability to carry something to done.

Familiarity with Medallion Architecture, cloud data environments, or governed semantic models is a plus — but if you're strong and curious in this space, don't rule yourself out over a checklist.

What you'll work on

Real projects with real stakes: modern data architectures, validated warehouses, and the AI layer companies use to make decisions. You'll work alongside a sharp, senior data team that cares about craft — both in the engineering and in how the work is presented.

See yourself here?

We hire for fit and ability, not buzzwords. If reading this made you think that's the kind of work I want to be doing — reach out. Send us a message, share your profile, and tell us how you think about data.

Get in touch