Medior Data Engineer / Analyst (Python-First)
Join Roivenue and help us keep enterprise-grade marketing data pipelines running smoothly. You’ll troubleshoot, build, monitor, and enhance the systems that power our analytics platform. If you’re the kind of person who sees a failing ETL job and says “hold my Red Bull,” we want you.
🔧 What You’ll Actually Do
40 % Data Quality Ownership
- Monitor daily data runs and dashboards.
- Jump on red flags, troubleshoot, and deploy hot-fixes.
- Provide second-level support when things go sideways.
25 % New Source Implementations
- Connect external platforms (ad platforms, analytics tools, custom feeds) to our system.
- Make sense of messy enterprise schemas and ensure they fit our platform standards.
15 % Custom Data Projects
- Co-lead revenue-boosting gigs that sit on top of our license fees. Think PoCs, attribution tweaks, one-off reporting layers.
10% DevOps & Infra TLC
- Keep an eye on Azure health metrics.
- Validate data integrity in release pipelines.
10 % API Whispering
- Maintain our internal Data-Quality API.
- Babysit external APIs so they don’t break overnight.
🎯 Outcome: Zero-drama data pipelines 🧘, happy enterprise clients 😄, and a product team that sleeps at night 🛏️.
✅ Must-Haves
- 🐍 Python that pays the bills– skills for writing testable, maintainable ETL/ELT code, not just quick Jupyter hacks.
- 🧠 Solid SQL – CTEs, window functions; you know the drill.
- Comfortable reading API docs and yelling at Postman until it works.
💡 Nice-to-Haves
- Familiarity with marketing/attribution data
- You’ve shipped something in a cloud (Azure earns extra hearts 💙☁️)
- Docker
- Bitbucket
👥 How We Work
- Team: Report to Lukáš Holý, Head of Data Quality & Implementations. Collaborate with Product, Dev, and Commercial squads 🤝
- Culture: We’re straight-talkers 🗣️ who ship, iterate 🔁, and own our mistakes 🙋
- Schedule: Flexible hours 🧘♂️, but expect some CET morning overlap for standups ☕