Data Engineer
Our systems move millions of records a day for clients who can't tolerate data loss or downtime. You'll build the pipelines and data platforms that make that dependable — clean, observable, and secure.
Apply for this roleWhat you'll do
- Design and build batch and streaming data pipelines on Azure.
- Build and maintain data platforms that move millions of records reliably.
- Model data for analytics, integrations, and downstream ML.
- Make pipelines observable, tested, and secure for regulated data.
- Work with backend, AI, and analytics teams on shared data foundations.
What we're looking for
- Strong experience building production data pipelines and platforms.
- Proficiency in SQL and Python, and solid data-modeling skills.
- Experience with a cloud data stack — Azure preferred.
- A rigorous approach to data quality, reliability, and security.
- Working Czech and English.
Nice to have
- Experience with streaming (e.g. Kafka / Event Hubs) or large-scale processing.
- A background with regulated or sensitive data.
- Exposure to ML data workflows.
Tech you'll work with
What we offer
Work that matters
Systems used every day by ministries, police, and millions of citizens — not prototypes for the drawer. What you build stays in production for years.
A senior team
Learn from architects and engineers who hold TOGAF, ITIL 4, PRINCE2, and Azure Expert certifications. No layers of busywork between you and real problems.
Real ownership
You own work end to end — from architecture and code, through deployment, to the conversation with the client.
Flexible & hybrid
Hybrid from our Prague office, or fully remote within Czechia or Slovakia. We care about outcomes, not hours at a desk.
Grow on the clock
Time and support to deepen your craft and earn the certifications that win us public-sector work.
A modern stack, done right
.NET, TypeScript, Python, Azure, and Kubernetes — with the time and standards to build things properly, security and compliance included.
How we hire
Four steps, usually wrapped up within two to three weeks. No trick questions, and no take-homes that eat your evenings.
Application
Send your CV or LinkedIn and a few lines on what you're looking for. We read every one and reply.
Intro call
A 30-minute conversation about your experience, what you want to work on, and how we work.
Technical interview
A practical, conversation-led session on real problems close to what you'd actually do here — no whiteboard algorithms.
Offer
Meet the team, talk specifics, and get a clear offer. Once we know it's a fit, we move fast.
Interested in this role?
Send us your CV or LinkedIn — we read every application and reply.
Apply for this role