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Senior Data Engineer

seniorhybridScore 66/100today
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
databricksdelta lakemlflowmlopspysparkpythonsparksqlusability
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Description
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 discussi
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