We’re looking for a Data Engineer with solid experience building and maintaining large-scale data pipelines in the cloud.

You’ll be joining a collaborative R&D team working on cutting-edge SaaS products, with full ownership over data workflows, architecture and performance.

What we’re looking for:

2–3 years of experience in data engineering roles

Hands-on experience with Azure cloud services, especially Data Factory, Data Lake, and Databricks

Solid knowledge of Databricks, including Spark-based processing, notebook orchestration, and ML pipeline integration

Proficient in Python and SQL for data manipulation and automation

Experience with orchestration tools like Airflow

Familiarity with Docker, CI/CD, and working in cross-functional development teams

You’ll work closely with data scientists, engineers and product teams to build data-driven features, enable experimentation at scale, and make sure pipelines are resilient and production-ready.

If you enjoy combining engineering with real-world impact – let’s talk.