Head of Volume Management

London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer

Senor / Lead Data Engineer

The Volume Management team arethe custodians of all knowledge around volume for our customers. They ensure all systems are maintained and contact accurate data to enable all teams to carry out their duties. They are also responsible for the creation of volume forecasts on behalf of our customers to feed into various systems / outputs.
Our Volume Management team provides support to all departments within our Energy and Decarbonisation division and covers volume forecasting, analytical reporting, and some administrative duties for our customers on both fixed and risk managed flexible energy contracts. This position will be responsible for the accuracy and quality of outputs presented to our customers and providing insight driven analytics to our internal teams.
The successful candidate should have a good level of technical knowledge in energy volume management,
hedging principals, systems and market fundamentals.
This position will be responsible for the day-to-day management of the team as well as management of the processes that are followed by working with our heads of department to ensure a seamless delivery to our customers. The successful candidate should have an extensive level of technical knowledge in energy systems, supplier relationships, and have an extensive knowledge of industry charges / systems whilst maintaining a focus on customer management.
Main duties
• Collaborate with our C-Suite customers, establishing strong relationships and offering valuable insights to help them make well informed decisions related to energy and carbon management
• Lead a team of talented energy professionals, ensuring constant opportunities for career growth and development within the team. Completing regular catch ups and annual MiReviews
• Identify and evaluate growth opportunities within the Corporate and SME markets, owning a pipeline of potential projects which will be tracked through our Igniting Growth workstream, and ultimately contributing to the success of the company
• Develop new products such as 24/77 energy around our customer's energy usage building in all energy sources and legislation
• Build bespoke M&T analysis customers and internal teams that will flag, track and highlight areas of abnormal energy usage and provide appropriate actionable insight to our customers
• Expand the teams capability to process and analyse data via BEMS where available to us either directly via our customers or through our TSOC teams
• Collaborate with the trading desk in the analysis of risk management performance, supplementing with delivery of hedging reviews, volume tolerance analysis and other reports as required
• Collaborate with other internal teams to understand non commodity charges applied to customers and present future risks to the wider business
• Any other duty which reasonably falls within the scope of this role
Requirements
• You will possess an understanding of how volume is recorded and fed through via all relevant parties. Ideally understand the data flow process from end to end
• You have experience of monitoring and targeting techniques and be able to demonstrate how these are used to highlight anomalies
• Ideally, you will have experience in forecasting or modelling volumes of data
• You excel at producing high-quality communications and presentation materials for senior audiences, with the ability to convey complex topics simply and compellingly.
• Ideally, you will have experience of linking into BEMS to help provide analysis for end user customers
• You have strong quantitative and qualitative skills, you are highly organised with strong interpersonal and management skills with an ability to work to tight deadlines and self-manage priorities amongst multiple tasks
• You possess a demonstrable knowledge of the tools that can be applied to strategic challenges, and you're adept at using these to navigate and resolve complex issues.
• You're willing to work across a range of issues and able to adapt quickly as priorities change
• High proficiency in MS Office applications, including Word, PowerPoint, Access and Excel
• Programming experience in Matlab, SRSS and SQL would be desirable
Knowledge, skills & experience
• Demonstrable experience in leading teams
• Track record of working with large data sets, with appreciation of data visualisation
• Knowledge of all industry partners including the MOP/DC/DA market
• An understanding of energy and carbon management terminology, principles, and methodologies
• Proven ability with Excel and other data analytic tools
Person Specification
• Computer literate with a good working knowledge of Microsoft Excel
• An ability to work to deadlines
• An ability to work fast, but accurately
• High attention to detail
• Being able to work under pressure
• Excellent written communication skills
• Self-motivated
• Organised and accurate
• An understanding of the Utilities industry would be beneficial but not essential
• Able to demonstrate self-reliance and ability to manage own time and priorities

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.