Data Engineer
Primary stack
Nice to have's
Job description
About the Position
We are seeking a skilled Data Engineer to join our team in Europe. This role is fully remote, offering you the flexibility to work from anywhere.
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
We are a dynamic team working in a multinational environment, offering exciting tasks and the flexibility to work remotely. Join us to be part of an innovative and growing company.
Apply for this position
Our team will review your application within the next 5 days.
Contact Information
The Workly s.r.o.
4D CENTER, Kodaňská 1441/46,
101 00, Praha 10.
Email: [email protected]
Phone: +420 775 371 991
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