Data Engineering Leader for Scalable Azure Infrastructure

5 dni temu


Stanisława Żółkiewskiego b Kraków, Polska Medius Pełny etat

We are seeking an experienced Senior Data Engineer to lead the design and implementation of scalable data processing infrastructure and ETL pipelines on Azure, driving efficient and reliable data flow to support AI/ML models, analytics, reporting, and other data-driven applications.

As a key member of our team at Medius, you will establish and enforce robust data governance practices, ensuring the security, integrity, and availability of data across the platform. Your expertise will be crucial in fostering a culture of learning and innovation within the organization.

In this role, you will have the opportunity to continuously enhance your data engineering skills, staying ahead of industry trends and sharing insights and best practices with the team. This position requires strong hands-on experience with Azure cloud services, including Spark/Databricks, and a deep understanding of cloud-based data architectures.

We are looking for someone with a minimum of 5 years of experience as a Data Engineer, proficiency in Python and SQL, and a proven track record of building and optimizing complex ETL/ELT processes in Data Lakehouse environments. Experience with data mesh architecture is highly desirable, demonstrating your ability to work within decentralized data environments.

This is a full-time position that offers a competitive salary range of $120,000 - $180,000 per year, depending on experience, and a comprehensive benefits package. The hiring process involves multiple rounds of interviews, including HR, technical, hiring manager, and validation sessions.



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