Quantitative Developer, Systematic Power Trading

Engelhart; Berlin; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Benefits dieser Stelle

28 days holiday

Berlin public holidays

Pension €3,000/year

BVG ticket subsidy €20/month

ClassPass subsidy €25/month

Language courses subsidy

Sociable international culture

Zusammenfassung

Engelhart, based in Berlin, seeks a Python-focused software engineer to build and operate the trading stack for power markets. You will contribute to low-latency data solutions, productionise live algorithms and partner with quants, traders and risk teams to deploy strategies.

The role emphasizes robust software practices, cloud-native development, and driving operational excellence in a collaborative, international team.

Qualifikationen

• Minimum 2 years of Python development experience.
• Strong OO and functional design skills; solid data structures/algorithms.
• Experience with CI/CD, testing, documentation and code reviews.
• Excellent communication and team orientation; emphasis on reliability.
• Experience testing and productionising quantitative models (e.g., predictions, optimisation).

Aufgaben

• Build and operate python-based trading stack for power markets.
• Develop optimized data solutions for low-latency retrieval.
• Productionise and monitor live trading algorithms.
• Apply software engineering best practices for scalable, robust systems.
• Collaborate with quants, traders and risk teams to deploy strategies.
• Support business expansion into new areas.
• Tackle performance, cloud-native development and reporting/visualisation tasks.

Kenntnisse

Python development

Software engineering fundamentals

CI/CD & testing

communication

productionising models

Tools

Docker

Airflow

SQL

Time-series databases

NumPy

Pandas

Scikit-learn

Polars

Jobbeschreibung

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.

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. Within this broad purview, your primary focus will be platform development and technical operations. This position is based in our Berlin office.

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 data retrieval.
• Productionise and monitor live trading algorithms.
• 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 technical challenges, including performance optimisation, cloud‑native application development and 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. The following background and acquired knowledge will best set you up for success:

• Minimum of 2 years experience as a Python developer.
• Strong software engineering fundamentals: OOP and functional patterns, modular loosely coupled design, 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 drive for operational excellence.
• Experience testing and productionising quantitative models (e.g., prediction, optimisation, uncertainty quantification or performance attribution).

Preferred Skills

• Experience in a software engineering and/or data science role within financial services or energy trading companies.
• Experience with Python scientific libraries such as 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.
• Subsidy for German language courses.
• Sociable working environment with an open, international culture.

We believe in inclusivity and are 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.