Data Engineer

We are looking for a Data Engineer to support a production Data Lake environment built on Databricks. The platform is live and in active use — your role is to keep it healthy, support ongoing transformations and reports, and be the go-to person when something needs attention.
This is a support-phase engagement — a good fit for someone who enjoys owning a stable system, resolving issues methodically, and improving what's already there rather than building from scratch.
What you'll do
Support and maintain the production Data Lake, including transformations and reports hosted in Databricks.
Monitor pipeline health and investigate and resolve data issues as they arise.
Maintain and improve existing Python-based transformation logic.
Support end users and stakeholders with data-related requests and incidents.
Document changes and maintain up-to-date technical documentation for the platform.
What you bring
3–6 years of hands-on experience with Databricks in a production environment.
Strong Python skills — able to read, maintain, debug, and improve existing code.
Experience supporting or maintaining data pipelines and transformation logic.
Reliable, responsive, and comfortable owning a live system independently.
Preferred qualifications
General understanding of Azure and how it underpins cloud data platform deployments.
Experience working in a support or maintenance capacity on an established data platform.
! Please, make sure you attached your resume or cover letter in English.

Work arrangement
Yes