Data Engineer

About the Position

We are seeking a skilled Data Engineer with advanced Python knowledge and experience in Spark, SQL, and Microsoft Fabric to join our remote team in Europe.

Responsibilities

• Design and implement scalable data pipelines
• Utilize Spark and SQL for data engineering and analysis
• Manage data orchestration with tools like Airflow
• Work with cloud services such as Azure (must), AWS, and GCP
• Handle RDBMS/NoSQL data stores and appropriate use cases
• Implement Data as Code practices, including version control, CI/CD, and containerization with Docker (must) and Kubernetes (plus)
• Understand the software development life cycle
• Familiarize with Delta Lake and data warehousing concepts

Requirements

• Advanced Python knowledge. Experience from a software engineering role or software engineering education is a plus.
• Proven experience with Spark and SQL for data engineering and analysis.
• Experience with Microsoft Fabric.
• Experience with data orchestration tools like Airflow.
• Hands-on experience with one or more cloud services (Azure - must, AWS, GCP).
• Proficiency in RDBMS/NoSQL data stores and appropriate use cases.
• Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker (must) and Kubernetes (plus).
• Solid understanding of the software development life cycle.
• Familiarity with Delta Lake and data warehousing concepts.
• Strong communication, interpersonal, and presentation skills.

We Offer

• Remote work options in Europe
• Opportunity to work with cutting-edge technologies

About the Company

We are The Workly s.r.o., a company located at 4D CENTER, Kodaňská 1441/46, 101 00, Praha 10. For more information, you can contact us at [email protected] or + 420 775 371 991.

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