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.
