Senior Data Engineer

Finbet d.o.o.

Associated Company to the international Fincore group is hiring for its Belgrade office

Senior Data Engineer

Who are Finbet?

Finbet builds the systems people rely on when failure isn’t an option. Platforms that stay fast, clean and unshakeable. We’ve grown from finance into gaming, sports betting, healthcare and public service. Different worlds, same obsession: build it clean, build it right, and build it with pride. In our Belgrade office, 200+ engineers, designers and problem-solvers bring serious craft to life. No clutter. No brittle code. Just people who care about what they build and enjoy pushing things further. We move fast. We think independently. We take ownership. And we make space for curiosity, creativity and the spark that turns good ideas into great systems.

If you want to do work that matters and feel the impact of what you build every day, Finbet is where your next chapter starts.

What’s the opportunity?

As a Senior Data Engineer, you will help design and build the core data platform that powers analytics and reporting across our products. This role goes beyond writing pipelines – if you bring energy, initiative, and strong technical ownership, you will have the opportunity to solve complex problems, improve engineering practices, and help your teammates succeed.

On top of that, you will play a valuable role in shaping how our data platform evolves and how the team works together to deliver reliable and scalable data systems.

What will your key contribution be?

• Design, develop, and optimize data pipelines to ingest and process large datasets from multiple systems.

• Build and maintain our analytical data warehouse using ClickHouse.

• Develop and orchestrate workflows using Apache Airflow/Dagster, dbt, Python.

• Collaborate with data analysts, engineers, and product teams to ensure reliable and well-structured data.

• Oversee end-to-end technical design, quality, and long-term scalable, reliable data pipelines and analytics platforms

• Improve the reliability and maintainability of the platform through better data quality checks, testing, monitoring, and observability.

• Help identify and remove technical blockers during development cycles and support teammates in solving complex technical challenges.

• Contribute to improving engineering practices and introducing scalable solutions across the data platform.

• Document data pipelines, best practices, and processes to support knowledge sharing within the team