The work has two sides that feed each other: technical client work in Google Cloud, and building the internal tooling that makes that work repeatable — tooling that's increasingly becoming products in its own right.

In the first 6–12 months, expect a mix of:

• Data engineering for clients in BigQuery and Google Cloud — schema design, data modeling, transformations, Cloud Functions, including AI-assisted warehouse builds: standing up a clean, well-modeled foundation in days, not months
• Building and extending our data pipelines — Shopify to BigQuery to the marketing stack, frontend and backend data, customer records and product catalogs. Reliable, observable, correct.
• Implementing and improving data tracking — first-party event capture with frameworks like walkerOS across client storefronts: how events are defined, how identity attaches to them, and how tracking stays clean instead of rotting
• Owning the most technical parts of Bloomreach Engagement integrations — data feeds, catalog syncs, event flows, and the edge cases where the marketing platform meets the client's data infrastructure
• Evolving our reporting platform — a live repository of reports, generated with Claude Code and running on each client's own infrastructure. Not greenfield; the craft is in the ongoing improvement.
• Extending our email asset creation tooling — the block and asset system and the AI workflow that assembles campaigns from it
• Orchestrating Claude and the Anthropic suite on all of it — code generation, data analysis, workflow automation. AI is how the work gets done here, not a side experiment. The judgment stays yours.
• Taking ownership of progressively larger systems as your judgment develops — from components under mentorship toward owning tools end-to-end

• Fundamentals that were trained, not googled — you studied (or study) at matfyz, FIIT, or somewhere with the same relationship to first principles. You know why a hash map is fast, and when it isn't. You've implemented things most people only import.
• The builder instinct — you build things nobody asked you to build. A repo, a game, a scraper, a bot, a compiler for a language with one user. Possibly abandoned. That's fine, the instinct is the point.
• Structured thinking under ambiguity — a vague brief doesn't freeze you, you sharpen it. You decompose problems you've never seen before.
• Honesty about what you don't know — and speed at fixing it. This profile has no industry experience by definition. What it has instead is a learning rate that makes inexperience temporary.
• Comfort being trusted rather than managed — deadlines exist and delivery gets checked, but nobody prescribes how you solve a problem or watches over your shoulder. Freeing for the right person, uncomfortable for the wrong one.
• Working English — you don't need to be a polished presenter, but you need to read, write, and hold a technical conversation comfortably.
• Fluency with AI tools, or the hunger to get there fast.

What we don't require: work experience, a finished degree, a polished CV, or any prior knowledge of eCommerce and marketing tech. We've hired people whose only track record was what they built for themselves.

• 30% profit share for all Datacops past six months
• Optional 4- or 3-day workweek — opt in and shift it as your life changes
• Hybrid: roughly 40% office, 60% remote
• Dedicated office in The Spot, the largest coworking space in Slovakia — free gym, Xbox, ping-pong, billiards, foosball, quarterly parties
• Fully-paid Multisport card, company laptop, book library
• Education budget for hard and soft skills, even at senior level
• Weekly company breakfast (we like waffles)
• A young, supportive team — average age 28

One company can change a country. We want to be that company for Slovakia.

Estonia got Skype. One exit in 2005, and a few hundred people walked away with real money and the experience of having built something that worked — the next wave came out of them: Wise, Bolt, Pipedrive. Slovakia hasn’t had that company yet. We’d like to be it.

Datacop facilitates technical marketing department for $25m-$2b eCommerce companies. Most of our clients are based in US and UK.

Read more about what we do at: https://datacop.services/