The Opportunity:

Join the Technical Portfolio Team in the Solar PV sector across Germany with an Infrastructure Investment Fund.

• To organise and process data to support an efficient and effective asset management function
• Optimise asset performance
• Provide and improve visibility of portfolio data to stakeholders

The Role:

• Be responsible for receiving, cleansing, and interpreting site data, remotely, from SCADA systems (and/or similar)
• Be integrated with our inhouse team of technical Asset Managers and be responsible for bringing data issues to the attention of the team
• Process large quantities of raw data and distil their findings into meaningful information on the condition and performance of sites
• Support resolution of faults and incidents, making recommendations to the Asset Managers on the cause of data anomalies and possible actions to restore sites to normal operating condition
• Be responsible for reconciliation of meter data and offtaker data, subsequent action to address differences;
• Be responsible for the continued maintenance of data management systems, notably the upload of key performance indicators (“KPI”) into the asset management platform
• Lead in the automation of the above processes and processes in general across the company
• Contribute to the continued development and consolidation of our SCADA systems, including onboarding of new assets when acquired
• Optimisation strategies to improve the performance of sites
• Liaise with Operation & Maintenance (“O&M”) Contractors on data issues across daily, monthly, and yearly data reporting
• Support asset managers in the quantification and decision making of LDs calculation due under contractual guarantees
• Be responsible for third party data sharing e.g API, FTPs from both other SCADA systems and metering accounts.
• Support the development of forecasting techniques

The Individual:

• Strong experience in data management and analysis of solar assets (4 to 5 years’ experience)
• Strong understanding of the technical performance indicators for solar, including energy yield analysis
• Good experience of SCADA and/or remote data sensing applications
• Good experience of data monitoring, remote sensing and cleansing large data sets
• Good understanding of contractual guarantees
• An aptitude for managing large data sets and drawing conclusions from them
• Enthusiasm and interest for how data analysis can enhance asset performance
• Good knowledge of the functioning and maintenance of communications systems
• Good knowledge of the functioning and maintenance of data storage systems (software and hardware)
• Strong academics
• Good skills on all Microsoft packages, particularly Excel. Other packages such as PVsyst or similar preferable.
• Fluency in German and English
• Good understanding of other technologies, such as wind, preferable