Summary: The Data Engineer role at Statkraft involves designing, developing, and maintaining scalable data management systems and integration solutions for a 12-month maternity cover. The position focuses on implementing upgrades, optimizing ETL processes, and ensuring data quality for the Solar Performance Analysis team. The candidate will collaborate with IT teams to maintain system security and continuously improve methodologies and technologies. This role offers an opportunity to contribute to renewable energy initiatives within a diverse and innovative workplace.

Key Responsibilities:

• Implement InfluxDB upgrade and links to SK Azure environment.
• Implement and optimize ETL processes using Python and other relevant tools.
• Manage and improve database structures, including MySQL and time-series databases.
• Develop and maintain APIs for timeseries data retrieval.
• Ensure data quality control measures meet reporting requirements.
• Collaborate with IT teams to maintain system security.
• Create and maintain clear documentation for all data processes and infrastructure.
• Continuously assess and implement state-of-the-art methodologies and technologies.

Key Skills:

• Bachelor's degree in computer science or equivalent IT degree.
• Strong experience in Azure, InfluxDB, SQL, and Python database principles.
• Strong knowledge of SCADA monitoring platforms and 'big data' infrastructure.
• Proficiency with code hosting services (e.g., GitLab) and data visualization platforms (e.g., Grafana).
• Self-starter with excellent troubleshooting skills.
• Outstanding communication skills, both written and oral.
• Experience with MySQL, timeseries databases, and energy generation data structures (preferred).
• Basic electrical knowledge and understanding of common communication protocols (preferred).
• Awareness of cybersecurity best practices and commitment to renewable energy.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT