Development Team Lead

About Baringa 

Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.

The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.

Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.

Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms.

Our Energy Products practice are looking for an experienced Development Team Lead to join the team.

The CORAL team within our Energy Products develops the modelling platform that underpins Baringa’s market analysis, valuation, and optimisation capabilities across European energy markets. We build production-grade software used by our consultants, analysts, SaaS developers, and clients to model power markets, simulate market prices, optimise assets, and deliver long-term market insights.

Our work spans statistical and stochastic models, optimisation, internal/external data, and AI-enabled tooling. We combine software engineering, quantitative methods, and energy market expertise to create scalable solutions that support both advisory engagements and productised offerings across Baringa globally.

What you will be doing

• Lead and develop a small team two or three software engineers working on a specific area of our modelling toolkit, providing technical direction, coaching, and delivery oversight.
• Develop and maintain CORAL’s software, data and AI platforms supporting quantitative modelling and analytics.
• Deliver capabilities spanning simulation, optimisation, market data and analytical workflows using modern engineering practices.
• Provide technical leadership and help drive the future evolution of CORAL’s architecture, tooling and development approaches.
• Contribute to statistical, machine learning, and optimisation-based approaches used across our modelling stack.
• Support development of asset optimisation and dispatch models for technologies including battery storage, thermal generation, hydro, and long-duration energy storage.
• Collaborate with quantitative modelling specialists, power market experts, and software engineers to translate complex analytical and modelling requirements into robust, production-grade software solutions.
• Work closely with the SaaS platform development team and colleagues across Baringa’s global offices to deliver reusable modelling capabilities, APIs, and data services that can be deployed consistently across products, regions, and advisory teams.

Your skills and experience

Essential

• 5+ years of professional software engineering experience.
• Experience / an interest in leading or mentoring software engineers within a delivery team.
• Strong Python development experience, including library design, packaging, testing, type hints, concurrency, and performance optimisation.
• Commercial experience with at least two programming languages.
• Experience working with quantitative, analytical, scientific, or data-intensive applications.
• Excellent communication skills and ability to work effectively with both technical and non-technical stakeholders.
• Degree in Computer Science, Engineering, Mathematics, Physics, or another STEM discipline.

Desirable

• Experience with mathematical optimisation techniques, including linear and mixed-integer optimisation.
• Experience developing quantitative, statistical, machine learning, or simulation-based models.
• Knowledge of power markets, energy trading, asset optimisation, or electricity market modelling.
• Experience with Rust, C++, or other high-performance programming languages.
• Experience with AI-enabled tooling, model discoverability platforms, MCP services, or developer productivity tooling.
• MSc or equivalent postgraduate qualification in a quantitative discipline.