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Senior Data Engineer

SeniorremoteWarszawa, PL →hace 3 sem.
Análisis del mercado
📊 Data Engineering: salarios y demanda en el mercado
Stack
DatabricksPythonPySparkSQLAzureData EngineeringData architectureUnity CatalogAI / LLM / RAGCI/CD / Azure DevOpsazureci/cd
Detalles
Experiencia
8+ años
Prácticas
CI/CD, DevOps
Mostrar empresa y enlace
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Descripción

We are a team of tech enthusiasts on a mission to bring together the best minds in IT services and analytics. Our goal? To build cutting-edge IT and Analytical Hubs that empower our partners to become truly data-driven organizations.

For our client’s Data Management & Data Foundation area , we are looking for an exceptional Senior Data Engineer – a highly experienced, hands-on engineer who can independently take ownership of complex technical challenges and turn them into robust, scalable solutions. This is not a maintenance-focused or business-as-usual role. You will join a high-seniority engineering group working on strategic and technically challenging initiatives , moving between projects depending on priorities and where the strongest engineering expertise is needed.

The wider Data Management organization consists of approximately 30 engineers and technology specialists , while this role will focus primarily on a selected set of high-impact initiatives. Your role As a Senior Data Engineer , you will: Design, develop, and optimize complex data solutions and data pipelines on Azure and Databricks. Take end-to-end technical ownership of assigned engineering problems – from understanding the challenge through solution design, implementation, testing, and production deployment.

Write high-quality, production-grade code using Python, PySpark, and SQL . Work extensively with Azure Databricks and modern capabilities of the Databricks ecosystem. Explore and implement AI-enabled c

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