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Senior Data Engineer at Madiff. Location Information: Remote. . This is a remote position.. We are seeking a Data Engineer to join a cross-functional delivery team working on the development of data lakes, analytical platforms, and real-time streaming solutions using modern Azure technologies. This role offers the opportunity to work in an Agile environment with direct access to product and business owners, shaping high-impact data products from concept to deployment.. . . Main Responsibilities. . . Design, build, and monitor . ETL. . pipelines. using Azure and Spark technologies. . Implement scalable, cloud-native data processing workflows using . PySpark. . Configure and operate core Azure services: Databricks, Azure Data Factory, Azure Data Lake Storage, and Azure Functions. . Collaborate closely with analysts, data scientists, and software engineers to deliver robust data solutions. . Translate business needs into reliable and secure data products. . Ensure data quality, governance, and performance best practices across solutions. . . . . Requirements. . . At least 4 years of professional experience in data engineering. . Proven experience with large-scale data processing and transformation pipelines. . Hands-on knowledge of Azure or other major cloud platforms. . Solid coding skills in Python (especially pandas/numpy) and SQL. . Familiarity with Git workflows in a collaborative development setting. . Fluency in Polish and English (C1 minimum level in English required). . Nice to Have. . . Experience with Linux/Bash scripting. . Familiarity with Docker or Kubernetes. . Domain experience in retail, financial services, energy, or the public sector. . . . . Benefits. . . Solid, competitive . salary. .. . Work in multilingual, multinational and multicultural environment on international projects. . Medical care. . . . .