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Data Transformation Manager

midhybridWarszawa, PLScore 60/100today
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
SQLPythonagileci/cdcloudconfluencedatabricksgitjirakubernetesllmopenshift
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Description
Ready to shape the future of Data Operations? As a Data Transformation Manager, you will combine technology, automation, and AI to turn complex business needs into smart, scalable solutions. You will take ideas from concept to implementation and help us create more efficient and innovative ways of working with data. What You Will Do Identify, design, build, and implement automation, application development, and AI solutions across Data Operations using Python, SQL, APIs, Databricks, Power Platform, and modern cloud technologies. Own the automation and application development portfolio end-to-end, from opportunity assessment and business case creation through solution architecture, development, deployment, and value realization. Translate business requirements into technical specifications, solution architectures, user stories, and scalable software products, acting as the bridge between Data Operations, IT, data platform teams, and external partners. Develop, test, and maintain custom applications, automation frameworks, APIs, data pipelines, Copilot agents, and AI-powered solutions, applying software engineering best practices including CI/CD, version control, testing, and monitoring. Build reporting and analytics solutions to measure automation adoption, service performance, operational efficiency, and business impact, while ensuring solutions are secure, scalable, well-documented, and maintainable. What You Bring Several years of experience in software engineering, automat
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