We are looking for an experienced Data Engineer/Architect to join our team and play a key role in optimizing data and business processes within the wind energy sector. This role involves designing and enhancing scalable data warehouse solutions and managing high-volume datasets to support data-driven decision-making across the organization.
Requirements
- 5+ years of experience in data engineering or a related role.
- Proven expertise in Python for data processing and automation.
- Hands-on experience with GCP services, especially BigQuery.
- Solid background in handling large-scale datasets and optimizing data workflows.
- Strong problem-solving skills and the ability to work independently and collaboratively.
- Excellent communication skills with a proactive and solution-oriented mindset.
Responsibilities
- Design, develop, and maintain robust data architectures and pipelines using Python.
- Build and optimize scalable data warehouse solutions on GCP.
- Work extensively with BigQuery for data modeling, transformation, and querying of large datasets.
- Ensure efficient data flow and reliability across various systems and business processes.
- Collaborate with cross-functional teams to define data requirements and translate business needs into technical solutions.
- Monitor data quality, implement best practices, and contribute to continuous improvement of data infrastructure.
What we offer
- Direct cooperation with the already successful and growing project.
- Flexible work arrangements.
- Collaborative and supportive team culture.
- Truly competitive salary.
- Help and support from our caring HR team.