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Popular data-engineer role with broad tech stack and multiple skill requirements increases competition.
Core data engineering skills transfer across industries, though specific stack and renewables experience add bias.
Explicit 8–10+ years plus many mandatory platform and tool requirements implies strict filtering.
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Build and maintain data pipelines to process wind measurement and master data from multiple sources.
Develop and optimize data models and schemas for storage and retrieval of structured and unstructured data.
Implement data quality and governance processes to ensure data accuracy, consistency, and reliability.
8-10+ years of experience as a data engineer or in a similar data-intensive role.
University degree in computer science, Engineering, or related technical field.
Proficient knowledge in ETL, Data Lake, data warehousing, SQL (preferably SQL Server), SSIS, SSAS (OLAP Cubes), ADF.
Programming skills in R, Python, Scala, Databricks (including spark, delta tables, unity catalog), and experience with CI/CD workflows (preferably Azure DevOps and Git).
Experienced in handling complex data environments with structured and unstructured data, focusing on wind measurement data or similar domains.
Skilled in managing data governance, security, and architecture to deliver reliable data infrastructure.
Capable of effective stakeholder management and communication to collaborate with internal and external teams.