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.
Responsibilities include designing, developing, and maintaining robust data architectures and pipelines using Python.
The position requires building and optimizing scalable data warehouse solutions on GCP.
The candidate will work extensively with BigQuery for data modeling, transformation, and querying of large datasets.
Ensuring efficient data flow and reliability across various systems and business processes is essential.
The role involves collaborating with cross-functional teams to define data requirements and translate business needs into technical solutions.
Monitoring data quality, implementing best practices, and contributing to the continuous improvement of data infrastructure are also key responsibilities.
Requirements:
The candidate must have 5+ years of experience in data engineering or a related role.
Proven expertise in Python for data processing and automation is required.
Hands-on experience with GCP services, especially BigQuery, is necessary.
A solid background in handling large-scale datasets and optimizing data workflows is essential.
Strong problem-solving skills and the ability to work independently and collaboratively are required.
Excellent communication skills with a proactive and solution-oriented mindset are necessary for this position.
Benefits:
The position offers direct cooperation with an already successful and growing project.
Flexible work arrangements are provided to accommodate various needs.
A collaborative and supportive team culture is fostered within the organization.
The role comes with a truly competitive salary.
Help and support from our caring HR team are available to all employees.
