- Contribute to the development and evolution of their analytical capability, working alongside a highly skilled team of energy market experts.
- Design, build and maintain robust database infrastructure to optimise internal data workflows and enable scalable access to data to consultants and to our in-house modelling software.
- Develop and maintain computational infrastructure, including cloud-based solutions, to enable efficient and scalable stochastic modelling of power systems and energy assets across European and global markets.
- Lead the design and improvement of UI/UX components of our internal modelling tools, ensuring ease of use, accessibility, and scalability across the company.
- Collaborate closely with our power and gas/LNG consulting teams, providing technical support to strengthen client delivery in investment value and risk analysis projects.
- Drive innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows.
- Python (incl. pandas, numpy, fastapi, dash/plotly)
- Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines
- Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture
- Frontend development: e.g. JavaScript/TypeScript, React, Dash, or similar frameworks
- Backend APIs: FastAPI, Flask, RESTful API design
- UI/UX design for data tools (e.g., streamlining internal workflows and dashboards)
- Experience with energy systems modelling/optimisation, quantitative risk modelling, or stochastic simulation
- Experience working in consulting, trading, or investment analysis environments
- Strong communication and collaborative skills for cross-functional project delivery
- Interest in power, gas or LNG markets and willingness to grow domain expertise