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Data Engineer
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When developers talk about company culture and values, we often roll our eyes at corporate buzzwords. What matters is how these translate into our daily work and professional growth. Let me share my concrete experience at Addepto, focusing on what actually happens rather than what’s promised.

My journey from Python Development to Data Engineering shows how technical growth works here. It started with a clear personal goal: to deepen my skills in handling data and designing data architectures. I expressed this during a conversation with my manager, openly acknowledging that I felt uncertain about databases and data processing. Instead of getting a generic response, this led to:
A turning point came when my colleague Mateusz Kijewski helped me develop a practical learning plan. Instead of diving into lengthy theory, we focused on getting a broad overview and testing tools in small, self-driven projects. This allowed me to learn at my own pace and make tangible progress outside my usual work tasks.
After learning on my own, I eventually got to work on an event mesh data platform for an aviation client. This isn’t a side project or a training exercise – it’s a real system that needs to work. Here’s what this means in practice:
One of the most significant benefits at Addepto is being trusted to structure my day in a way that fits my productivity style. For instance:
What makes professional development real here isn’t formal training programs but practical opportunities:
My transition from Python Developer to Data Engineer wasn’t just a title change. Here’s how it actually happened:
Not everything is perfect – we face real challenges like any technical team. But what matters is how these challenges become growth opportunities:
This isn’t about company values written on a wall – it’s about how work actually gets done and how developers can grow their careers in practice. The key is that professional growth isn’t just encouraged; it’s built into how we work every day.
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