Engelhart
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.
About the Role
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.
What we offer
- 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.
To apply for this job please visit job-boards.greenhouse.io.
Explore Engelhart online
Working in Berlin
Berlin is the capital of Germany as well as its largest city by both area and population. With 3.7 million inhabitants, it has the highest population within its city limits of any city in the European Union. The city is also one of the states of Germany, being the third-smallest state in the country by area. Berlin is surrounded by the state of Brandenburg, bordering Brandenburg's capital Potsdam to the southwest. The urban area of Berlin has a population of over 5 million, making it the most populous in Germany. The Berlin-Brandenburg capital region has around 6 million inhabitants and is Ger
Market context
- Similar listings in Berlin, Germany 1
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Keep exploring on Get A Job.ai
Not quite the right fit? Your next opportunity is a click away.
- Browse all jobs
- More jobs by category
- Remote jobs you can do from anywhere
- Research typical pay for this role
- Set a job alert so new matches reach you first
- Upload your resume to apply faster
Hiring instead? Post a job and reach candidates searching right now.