Data Engineer

About the Position

Your vision. Our solutions.

We are seeking a skilled Data Engineer to join our team in Europe, working remotely. You will be responsible for building and maintaining ETL pipelines using Databricks, PySpark, and Azure cloud infrastructure.

Responsibilities

• Build and maintain ETL pipelines from various data sources
• Work with Databricks, PySpark, and Azure cloud infrastructure
• Design and optimize robust and scalable data pipelines for large datasets
• Handle real-time data processing (e.g. Kafka, streaming)
• Connect and manage data flows to target systems (e.g. Power BI, SharePoint)
• Work with Infrastructure as Code (Terraform)
• Ensure data quality, performance, and governance compliance
• Act as a bridge between business stakeholders and technical teams

Requirements

• Fluent in German & English
• Hands-on experience in data engineering with Python
• Strong knowledge of Databricks/Spark and building transformation pipelines
• Experience with DevOps methodology and software-engineering-focused projects
• Cloud expertise (like AWS, Google Cloud, or Azure)
• Excellent communication and social skills, including collaboration with business stakeholders
• Experience in requirements engineering
• Industry knowledge in the energy sector is a plus

We Offer

• Interesting tasks in a multinational environment
• Possibilities to work in a home office

About the Company

The Workly s.r.o.

4D CENTER, Kodaňská 1441/46,

101 00, Praha 10.

Contact:

[email protected]

• 420 775 371 991

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