datascale

About

We build the data and tracking architecture your marketing runs reliably on

Datascale One is a small engineering team based in Gräfelfing near Munich. We take care of the part of marketing nobody sees and that still decides everything: tracking, data models, pipelines and the server-side stack. So the numbers in your report are ones you can actually rely on. Started 2019 as freelance, GmbH since 2024.

What we are

One layer deeper. Whoever sells, builds. Deliberately small.

Most agencies think in campaigns. We think one layer deeper, at the data. When tracking is clean, events are accurate and pipelines hold, the rest mostly takes care of itself. When they don't, even the best dashboard can't save it.

Whoever sells, also builds. In your first call you talk to Juri, Alex or Anna, and the same person writes the code afterwards. No account-manager firewall, no juniors sold as seniors.

Seven years, 70+ setups across DACH, across retail, MedTech, FMCG and automotive. We know the typical dead-ends; most of them we built ourselves first. We stay deliberately small: many clients from our earliest years are still with us today. We'd rather have that than fast growth.

Our conviction

EU-first for EU clients. Flexible across borders.

A stance, not a marketing claim. That's how we decide where your data lives.

For Europe, the EU stack is the default.

BigQuery in EU regions, Plausible self-hosted on a server in Germany, consent tools with EU data residency. US cloud only comes in when there's a real reason, and then with the right contracts. The benefit is simple: your data still works in five years' time, without you having to rebuild everything.

Outside the EU, we follow the case, not a principle.

If you have markets or subsidiaries beyond Europe, you often need tools that only exist in the US ecosystem. Then we build mixed: storage in the EU where possible, US tools where the business actually needs them, and clean governance across both. What carries the actual project wins.

EU-first für DACH

Where your data lives.

Default stack for DACH clients, seven layers from consent to activation. Filter by trust category to see where your own tools land.

  1. CMP

    Usercentrics

    Munich · EU

    EU-native

    ?
  2. Tagging

    sGTM · stape.io

    Frankfurt · EU

    EU-native

    ?
  3. Analytics

    GA4

    via sGTM · EU

    EU-configurable

    ?
  4. Warehouse

    BigQuery

    europe-west3

    EU-native

    ?
  5. Modeling

    dbt

    runs on the warehouse

    EU-configurable

    ?
  6. BI

    Power BI (EU tenant)

    Frankfurt · EU

    EU-configurable

    ?
  7. Activation

    Hightouch

    US · managed

    US with SCCs

    ?

Also supported:

  • Cookiebot
    ?
  • OneTrust
    ?
  • Plausible CE
    ?
  • Matomo
    ?
  • Snowflake
    ?
  • Looker Studio
    ?
  • Census
    ?
  • RudderStack
    ?
  • funnel.io
    ?

Diagram: Datascale default stack for DACH clients. We adapt for international projects. As of May 2026.

What we don't do.

  • Pitch decks for other pitch decks
  • Account managers as a firewall
  • Dashboards nobody opens
  • Tracking that folds before the first ad-blocker
  • US cloud by default · without a business reason
  • Migrations that need redoing in five years
  • Q01
    Why not a freelancer?

    Three senior specialists instead of one. If Alex is out, Anna or Juri keep building; your setup doesn't hang on one person. Juri was a freelancer himself from 2019 to 2024, we know the ceiling from experience.

  • Q02
    Why not a big consultancy?

    At Datascale, the person in your first call is the same one who writes the code. No hand-offs between pitch and delivery, no juniors sold as seniors. If your plan doesn't work, you hear that in the first call, even if it costs us the mandate.

  • Q03
    Why not an in-house team?

    If your stack is stable and the volume justifies it, in-house is almost always better. We are the bridge before that: build the foundation, hand it over to your team, stay as sparring partners for the unusual questions. Done it many times.

  • Q04
    When are we the wrong choice?

    When you need 200 hours of discovery, a brand name for the boardroom slide, campaign execution (creative, media, ads ops), or a single 8-hour ticket. Better providers exist for those, and we'll tell you who.

Architecture audit

Identify the blind spots in your data architecture.

We audit your tracking, consent, data quality and reporting. You leave with a clear assessment of which decisions your current data can safely support.

  • 90-min deep dive
  • Concrete findings
  • Roadmap proposal