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.
Our team runs systematic trading strategies in short-term power markets around the world. In many countries, trading algorithms are central to how intermittent renewable power generation gets integrated into the grid - the liquidity and price signals we provide are part of what makes the renewables transition work. This role offers a unique blend of technical challenge and societal impact, providing you with end-to-end exposure to the full algorithmic trading value chain. This spans systems development for automated trading, machine-learning operations, dev-ops, backtest technology, data engineering and dashboarding. Within this broad purview, your primary focus will be platform development and technical operations.
This position is based in our Berlin office, and will be tasked with the following responsibilities:
- Build and operate python-based trading stack for continuous / day-ahead power: signal generation, backtesting, execution logic etc.
- Contribute to developing optimised data solutions that allow for low latency (seconds) data retrieval.
- Productionise and monitor live trading algos.
- Apply software development best practices to design scalable, robust and testable systems.
- Work closely with quant researchers, traders and risk teams to turn ideas into deployed strategies.
- Support the expansion of the business into new areas.
- Engage in exciting technical challenges, including performance optimisation, cloud-native application development and the creation of versatile reporting and visualisation frameworks.
About You
You’re an engineer who wants their code running in production against live markets, not sitting in notebooks. You care about correctness and reliability because the cost of a bug is real. Domain experience in power or energy markets is a plus, not a requirement. We value diversity of thought and encourage applications from individuals with varied backgrounds and experiences.
As a result, we believe the following background and acquired knowledge will best set this individual up or success:
- A minimum of 2 years of experience as a Python developer.
- Strong software engineering fundamentals: OOP and functional patterns, modular loosely coupled design, a solid grasp of data structures and algorithms.
- Proficiency with software engineering best practices for version control, code review, testing, documentation and CI/CD.
- Excellent communication skills, strong team orientation and a drive for operational excellence.
- Experience testing and productionising quantitative models (e.g., models relating to prediction, optimization, uncertainty quantification or performance attribution)
In addition to the above, the following skills are not necessary for application, though highly advantageous for this role:
- Experience in a software engineering and/or data science role, within financial service companies or energy trading companies.
- Experience with Python’s scientific libraries, e.g., numpy, pandas, scikit-learn, polars.
- Experience with time-series databases, Airflow and deploying containerised applications as cloud services.
- Experience with at least one statically typed programming language.
- SQL proficiency.
- Competitive compensation and participation in Engelhart’s discretionary bonus plan.
- 28 days of annual holiday entitlement plus Berlin public holidays.
- €3,000 per year contribution to a private pension scheme on your behalf.
- €20 monthly subsidy towards BVG tickets.
- €25 monthly subsidy towards ClassPass membership.
- A subsidy for German language courses to help you immerse yourself in the local culture.
- A sociable working environment with an open, international culture.
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.
Skills Required
- Minimum of 2 years of experience as a Python developer
- Strong software engineering fundamentals: OOP and functional patterns, modular loosely coupled design, data structures and algorithms
- Proficiency with software engineering best practices: version control, code review, testing, documentation and CI/CD
- Experience testing and productionising quantitative models (prediction, optimization, uncertainty quantification or performance attribution)
- Excellent communication skills, strong team orientation and a drive for operational excellence
- Domain experience in power or energy markets
- Experience in software engineering and/or data science roles within financial services or energy trading
- Experience with Python scientific libraries (numpy, pandas, scikit-learn, polars)
- Experience with time-series databases, Airflow and deploying containerised applications as cloud services
- Experience with at least one statically typed programming language
- SQL proficiency
What We Do
Engelhart is a global commodities trading company built for today's markets and the transitions shaping tomorrow. We trade across the full commodities complex, from energy and renewables to agriculture, metals, freight, and carbon. Our role is to connect markets, manage risk, and uncover value where others see volatility. What sets us apart is how we bring it together: • Deep market expertise across physical and financial products • Quantitative and data-led insight that strengthens decision-making • A culture that values collaboration, speed, and independent thinking Founded in 2013 as part of BTG Pactual Group, Engelhart operates with a strong balance sheet and a global footprint. Our teams combine technical depth with commercial instinct: delivering liquidity, price discovery, and stability to the world’s most dynamic markets. We don’t just trade what exists today. We help shape what comes next. Engelhart Where the future trades
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