Head of Data - Renewable Energy

🔒 Confidential Employer
Posted 20 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Renewable Energy
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python SQL Data visualization SCADA EMS Cloud database structuring Renewable energy Data analytics

FULL DESCRIPTION

Location: London (Hybrid – Southeast England asset base)

Key Responsibilities

· Design and build bespoke dashboards for solar and BESS assets (performance, availability, revenue, faults)

· Translate SCADA, EMS, operational and commercial data into intuitive, decision-ready visualisations for both internal and external stakeholders

· Track and analyse asset KPIs including the full revenue stack, yield, degradation, curtailment, and battery cycling

Hands-On Data Infrastructure

· Build and maintain data pipelines integrating SCADA, IoT, and third-party systems

· Structure datasets to enable reliable and scalable analytics and reporting

· Develop a robust and secure cloud-based data environment (e.g. AWS, Azure)

Asset Performance & Optimisation

· Work with the commercial and technical teams to identify performance trends, anomalies, and optimisation opportunities

· Support BESS dispatch optimisation and solar asset performance decisions

· Enable predictive and condition-based maintenance insights

Commercial & Trading Support

· Partner with Asset Management and Trading teams to support revenue optimisation

· Contribute to forecasting and trading strategy through data insights

· Act as the central point of contact for operational data

AI & Future Capability Development

· Lay the foundations for AI and machine learning applications across the portfolio

· Explore use cases in forecasting, anomaly detection, and automated optimisation (technical & commercial)

· Support the long-term digital and data strategy of the business

Key Requirements

Essential:

· Strong experience working with energy or infrastructure data (renewables, utilities, or power markets preferred)

· Understanding of cloud database structuring for resilience and security

· Ability to lead in the designing of the data ecosystem and ensuring its reliability in delivering key operational metrics

· Experience in data capture and processing from a range of sources

· Proven experience building visualisations, dashboards and data tools from scratch

· Hands-on capability with data tools (e.g. Python, SQL, ClickHouse, Grafana, Power BI, Tableau, or similar)

· Familiarity with SCADA, EMS, or operational asset data systems

· Understanding of solar PV and/or BESS performance metrics is advantageous

· Exposure to or strong interest in AI/ML applications

Desirable attributes:

· Ideal candidate should be a strong self-starter given they will be responsible for building out and overseeing this new business capability

· Although a new standalone function within the business, it will involve close working relationships with the management team, technical and commercial leads and therefore the candidate should be a proven team player

· An attention to detail will be required to ensure the quality of the data being inputted into the data ecosystem, and hence the quality of its outputs

· A natural curiosity to investigate and challenge when things do not appear to be right would also be highly valued

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