A boutique data consultancy.
That stays that way.

Small team. One cloud. Paid audits, fixed-price builds.
We work with a handful of clients at a time and go deep, not wide.

Let's talk

Why Nimzo Data exists.

A gap in the market

Most data consultancies deliver slide decks, expensive audits, and not much working software at the end. The mid-market in Europe deserves better: serious technical work, delivered honestly, at prices that aren't calibrated for Big Four budgets.

One thing, done well

GCP, because it's the strongest analytics stack. Fixed-price, because hourly billing rewards the wrong behavior. Senior engineers only.

Small by choice

We're small. Fewer clients means we can do better work for each one.

Why Nimzo?

Nimzo Data is named after the Nimzo-Indian Defense, a chess opening that controls the center indirectly. It's about positioning, not force.

We build data infrastructure the same way. We don't build impressive dashboards that nobody uses. We build the pipelines, models, and metrics underneath them.

How we work.

Execution-led, not embedded

We lead the technical work. Your team joins reviews and can take on parts when it makes sense. No daily standups, no full embed.

Infrastructure first, insights second

Dashboards are only as good as the data feeding them. AI features are no different — they need governed data models to be accurate. We start with the foundation.

One cloud, by design

GCP-only isn't a limitation. It's a commitment to depth over breadth. Multi-cloud consultancies are necessarily shallow on each cloud.

Transparent pricing, defined scope

Data consulting has a reputation for ballooning engagements. Fixed prices, ranges published on our service pages, no upsells on work you don't need.

European sensibility, direct communication

Based in France, working across Europe. No jargon, short sentences.

Capable teams over dependent clients

Every engagement ends with documentation, training, and a clean handover. Your team understands what we built and why. If you outgrow us, that's a success.

Who we work with.

This is for you if:

  • You're on Google Cloud, or planning to be.
  • You're past the "spreadsheet era" and need a real platform.
  • You have analysts, not data engineers. Or no team at all.
  • You need senior data engineering, not a full-time hire.
  • You want AI to answer your team's data questions accurately.
  • You can make a decision. Our best engagements start in two-week sales cycles, not four-month ones.

This isn't for you if:

  • You need AWS or Azure. We don't do multi-cloud.
  • You're pre-product-market-fit. Data isn't your bottleneck yet.
  • You need analysts or data scientists. We're data engineers.
  • You want the cheapest hourly rate available. We compete on seniority, not price.
  • You need real-time streaming at scale (Kafka, Flink, sub-second latency). Different specialism.