Data Engineer

🚀 Ready to turn data into business superpowers?

Hey there 👋! We're Bizzy - and we're on a mission to build an AI Sales OS that gives sales and marketing teams superpowers to spot opportunities, create interest and close deals.

We're scaling fast, and to power our next phase of growth, we're looking for a Data Engineer who's not just into clean code, but into clean, powerful, business-changing data. You've had your first real years in data engineering, you've shipped pipelines that people depend on, and now you want to grow faster in a team that will give you real ownership.

If that sounds like you - keep reading. You might be exactly who we're looking for.

📍 Based in Ghent, with flexibility to work from home 2 days a week.

At Bizzy, we grow together — by learning fast, sharing openly, and challenging each other with Candid Candor. We believe in honest conversations that move us forward, not in circles.

We take initiative, act boldly, and Lead the Way — not by talking about it, but by doing it. We back each other up, celebrate wins together, and stay United by Growth, every step of the way.

Yes, we hustle. But we also know when to pause, recharge, and Unwind — because sustainable pace beats constant rush.

Joining Bizzy means joining a team that's shaping the future of sales tech across Europe. If you're ready to make your mark and grow fast, we'd love to meet you.

• Hands-on data engineer – Around 3 years of experience in data engineering, or a close role such as analytics or backend engineering with a data focus. You've built and run pipelines in production..
• Solid foundations of the modern data stack – Strong in Python and SQL, with experience on at least one cloud platform (Google Cloud is a plus). Spark or Databricks experience is a bonus, not a requirement. You'll learn our stack here.
• Pipeline builder – You've built ETL/ELT pipelines and you care about reliability, performance and code someone else can maintain.
• AI-curious & future-focused – You actively explore how AI and machine learning can improve data processes. You know when to experiment and when to ship.
• Quality-obsessed – Testing and monitoring are part of how you build, and you want to learn how to do them at scale.
• People-first mindset – You ask for feedback, give it honestly and share what you learn. #CandidCandor
• Business-aware – You understand that great data engineering isn't just about technology — it's about enabling the business to make smarter, faster decisions.
• Startup-ready – Fast-paced environments excite you. You embrace change, tackle challenges head-on, and know how to prioritize what truly matters. Strong ownership and a bias for action are in your DNA.
• Fluent in English – Dutch is a bonus, but not a must.

🌈 Diverse teams build better products. That starts with you.

Don't meet every requirement? Apply anyway. We actively want to hear from people of all backgrounds — even (especially) if you're unsure you tick every box. Confidence gaps and imposter syndrome hold too many great people back. Don't let that be you.