Jobs at Engelhart

Six-month, on-site internship researching weather phenomena and their relationship to energy-market outcomes. The intern will analyze meteorological and market datasets with Python, develop and evaluate statistical or machine-learning forecasting methods, compare numerical weather prediction and AI model outputs, and present findings to technical and commercial stakeholders.

Manage treasury operations for an international commodity trading business, including working capital, cash and liquidity management, trade finance execution, bank facilities, collateral requirements, forecasting, reporting, and process improvement projects. The role requires analytical work, large-data analysis, treasury system experience, and collaboration with global treasury, technology, and middle-office teams.

Six-month, on-site internship supporting a global Weather Analytics team. Responsibilities include analyzing weather datasets with Python, developing and testing APIs and data-access tools, improving weather-product visualizations, working with meteorological data formats and forecasting technologies, and presenting findings to technical and commercial stakeholders. The role provides exposure to numerical weather prediction, AI weather models, energy markets, and commodities trading.

Six-month, onsite internship supporting renewables origination through market research, commercial and client analysis, CRM data management, product strategy, presentations, Salesforce-related automation, and AI-enabled workflow improvements. The intern will generate insights for business development and decision-making, improve operational processes, and coordinate with trading, legal, and operations teams. Business-level English and German proficiency is required, along with quantitative or commercial training and practical data analysis or coding experience.

Six-month, on-site internship supporting power trading, renewable energy, balancing risk management, and portfolio analytics. Interns analyze large market and asset datasets, develop Python-based tools and predictive models, support optimization and forecasting, conduct market research, and present insights to technical and commercial stakeholders. Candidates need strong quantitative backgrounds, Python, statistical or optimization expertise, energy-market interest, business-level English, work authorization in Germany and/or Switzerland, and availability from February 15 to August 12, 2027.

Drive and coordinate day-to-day operations and strategic initiatives across European commodities businesses (gas, power, renewables, freight). Interface between trading desks and support functions, improve processes and controls, lead business planning and performance monitoring, and resolve complex operational challenges across geographies and functions.

Build and maintain scalable backend services, data ingestion pipelines, and data platforms. Improve reliability, observability and cost-efficiency of data infrastructure, develop reusable tooling, automate orchestration, and collaborate with engineering and data teams to deliver high-performance data solutions.

Drive and coordinate daily operations and strategic initiatives across European commodities trading desks. Act as interface between trading and support functions, improve processes and controls, lead business planning, performance monitoring and cost analysis, and resolve complex operational challenges across desks, geographies and functions.