Senior Data Engineer

Senior Data Engineer
Paysend, Belgrade (hybrid)

We're looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption.

What you'll be doing:

🌸Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL.
🌸Deploy, operationalize, and monitor machine learning models (MLOps) in production environments.
🌸Build and maintain data marts as the primary source of truth for key business domains.
🌸Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability.
🌸Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points.
🌸Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration.
🌸Gather and translate business requirements into technical solutions.

What you'll need to be successful:

💦5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption.
💦Proficiency in Python, SQL, and PySpark/Spark.
💦Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows).
💦Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions.
💦Data modelling skills and experience designing data marts for analytics and reporting.
💦Experience building production pipelines with orchestration, testing, monitoring, and version control.
💦Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles.
💦Demonstrated accountability for project outcomes and commercial impact.

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