About the role
About Us
Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies.
In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition.
Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship.
Power Trading & Renewables Analytics Internship Program
Six-Month Internship: 15 February – 12 August 2027
Berlin or Grenoble (full-time, on site)
Engelhart’s Internship Program offers a unique opportunity to gain hands-on experience in renewables and power trading analytics. Interns will work closely with front office teams on data-led projects that support commercial decision-making, optimisation, and risk management across energy markets. To be eligible for consideration, applicants must have the right to work in the relevant internship location and be available to commence their six-month internship from 15 February 2027.
The internship opportunities covered by this advert are as follows:
Power Analytics Intern, Berlin
PPA Optimisation Analytics Intern, Berlin
Balancing Risk Management Analytics Intern, Berlin
Systematic Quantitative Research Intern, Berlin
Renewables Portfolio Analytics Intern, Grenoble
Applicants may indicate areas of particular interest during the process, but final role allocation will be based on business need, candidate profile and overall fit.
We are also hiring for Renewables Origination and Weather Analytics internships in Berlin. These have separate application processes due to their different candidate profiles. Further details are available on our Careers Page.
What You Can Expect
Hands-on experience on a dedicated renewables, power or balancing risk management desk, depending on the internship you are hired for, working on projects with real commercial relevance.
Exposure to how data, analytics and optimisation support trading, portfolio management or risk management decisions in energy markets, depending on desk requirements.
Close learning and mentorship from experienced front office professionals, including direct exposure to desk leadership.
A structured six-month internship within a global commodities business, combining cohort-based learning with deep desk integration.
Example Project Areas
Depending on the internship opportunity, projects may include working with large trading, market or asset-related datasets, supporting optimisation work linked to renewable assets, PPAs, BESS, balancing risk management or systematic trading strategies, and developing Python-based analytical tools, predictive models, dashboards or workflows.
Key Responsibilities
Work closely with a front office team on data-led projects within renewables, power or balancing risk management, depending on the internship role.
Analyse large market, trading or asset-related datasets to identify insights that support commercial decision-making, portfolio management, systematic trading strategies and, where relevant, automated trading execution.
Develop, test or improve analytical tools, models, dashboards or workflows using Python and other relevant tools.
Support optimisation under uncertainty, forecasting, predictive modelling, simulation, reporting or risk management activities, depending on desk requirements.
Conduct market research and present findings clearly to technical and commercial stakeholders.
Contribute to day-to-day desk activity, building practical understanding of how analytics supports trading and portfolio decisions.
About You
Across our 2027 internship program, we are looking for motivated, intellectually curious individuals who are keen to apply strong analytical and technical skills to real business challenges in power and renewables markets. You should be comfortable working with data, learning quickly, and collaborating closely with front office teams in a fast-paced trading environment.
The following experiences and skills are essential for application:
Strong academic background in a quantitative discipline such as Engineering, Mathematics, Computer Science, Data Science, Statistics, Economics, Quantitative Economics, Finance, Energy Economics or a related STEM field.
Strong Python skills, with the ability to analyse, manipulate and interpret complex data sets.
Strong grounding in statistics, econometrics, machine learning, predictive modelling or optimisation, with the ability to apply quantitative methods to practical trading, market or risk problems.
Excellent analytical and problem-solving skills, with a structured and detail-oriented approach.
Evidence of applying data analysis, coding or quantitative methods to a practical problem, gained through academic projects, internships, research, personal projects or other relevant experience.
Demonstrable interest in energy markets, including an ability to discuss relevant industry developments in power, renewables, risk management or commodities trading, gained through academic study, projects, internships, research, or personal interest.
Business-level English proficiency.
Right to work in Germany and/or Switzerland for the full duration of the internship.
Effective communication skills and a collaborative mindset, with the confidence to work closely with commercial and technical stakeholders.
Intellectual curiosity, with the motivation to understand how market fundamentals, data and commercial decisions interact.
The following would be advantageous:
Experience with SQL, data visualisation, advanced modelling techniques or applying machine learning / AI to market, trading or quantitative research problems.
Exposure to optimisation, forecasting, time-series analysis, quantitative finance, algorithmic trading concepts or large trade/market datasets.
We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.
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