Careers
Marketing Engineering in DACH. We're hiring.
Datascale is growing and we're looking for someone early in their analytics career who wants to learn the basics properly, on real projects, with real mentoring, not in a training silo.
Must have
- Solid Excel or Google Sheets, at minimum pivot, XLOOKUP, basic formulas
- Basic understanding of web analytics (events, sessions, conversions, no expert level required)
- Clean written English; German at working reading level is a plus
- You enjoy questioning numbers rather than just accepting them
- Willingness to learn GA4, Data Studio and BigQuery in the first months
Nice to have
- First exposure to GA4 or Piwik PRO from studies, internship or in-house role
- Basic SQL knowledge
- Own data projects (private ones count: sport tracker, content analytics, whatever)
- Agency or startup experience, pace and prioritisation as a given
What you get
- Hybrid between Gräfelfing office and home office, at least two office days per week
- Short learning path with defined milestones in the first 90 days
- Mentoring from Juri and Alex, real projects, not onboarding wikis
- Modern stack: BigQuery EU, Plausible CE, funnel.io, Data Studio, GA4
- No 15-minute time tracking
- MacBook, headset, monthly mobility budget
Learning path
90 days. Three stages. Real projects.
What actually happens in the first three months, concrete, not abstract. The plan is a guideline, not a contract: if the pace doesn't fit, we adjust together.
day 1–14
onboarding
- GA4-audit shadowing with Alex
- First own property in BigQuery EU
- stape.io sandbox setup
day 15–45
first project
- Independent GA4 → BigQuery setup for an existing client
- Weekly code review with Juri
- First Looker Studio dashboard patterns
day 46–90
ownership
- Lead on a small Audit Sprint
- First blog-post draft (optional, mentored)
- 90-day retro with Juri
Who we are not.
- We don't need a top-3 uni grade
- No "career paths" that exist only on paper
- No "you spend the first two years grinding through Excel reports"
Application process
- 01
Short enquiry
Email hello@datascale.de with CV and 3–4 sentences on why. No 5-page motivation letter.
- 02
Technical conversation
60 minutes with Juri. A few concrete data examples so both sides can see how you think.
- 03
Decision
Response within one week. If it fits: offer. If not: honest feedback.
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Do I need a German work permit?
Yes. We can currently only hire candidates who are already allowed to work in Germany. EU citizenship or an existing residence permit with work authorisation works. As a small GmbH, we don't offer visa sponsorship right now.
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What language is daily work in?
German internally (Slack, meetings, code reviews). About two-thirds of client calls are in German. English documentation is the standard. If you don't speak professional-level German, the client side of the role will be a struggle.
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Is the role fully remote?
No. At least two office days per week in Gräfelfing, because mentoring in the first 90 days is hard to do remotely. If you live more than around 150 km away, talk to us upfront about how the weekly commute works on your end.
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What's the salary range for the junior role?
€50,000–70,000 gross per year for full-time, depending on experience. Pro-rated for part-time. Plus hardware, mobility budget, and a monthly learning day.
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Is there a take-home task or technical test?
No. In the 60-minute technical conversation we walk through two or three concrete data examples. Both sides see how the other thinks. We don't make anyone spend six hours on a fictional task just to get back a copy-paste rejection.
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Can I apply without an analytics background?
Yes, if you bring two things: solid analytical thinking (questioning numbers rather than accepting them) and an appetite for structured learning. The 90-day learning path is built exactly for that. People coming from business, business informatics or an adjacent discipline who want to learn the tooling often fit better than an "analyst" with two years of Excel reporting.