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.
This is an exciting opportunity for a Python Software Engineer with approximately five years of experience to deepen their current expertise in commodities trading, while becoming a key member of our Risk, Finance & Compliance technology function within the Engelhart Technology team.
Operating with a high degree of autonomy and offering direct exposure to stakeholders & business users, this role will give someone the opportunity to take end-to-end ownership of initiatives, from requirements gathering and solution design through to production deployment and ongoing support.
Working in close collaboration with a small, dynamic team, this role provides a unique opportunity to influence Engelhart's technology landscape and deliver initiatives with tangible business impact. This team is delivery-focused, fostering strong collaboration, open technical and business discussions, as well as a culture of continuous improvement. The ultimate objective is to enable informed decision-making across our business through reliable, scalable and well-designed technology solutions.
This Software Engineer with have the following responsibilities;
- Designing, developing, maintaining and enhancing in-house systems, as well as integrations with third-party platforms.
- Working closely with Engelhart's Risk & Finance teams to gain a strong understanding of business requirements, translating them into well-defined technical solutions.
- Providing technical support to Risk, Finance and Front Office users - particularly in the use of shared internal Python libraries, cloud infrastructure and access to enterprise data.
- Contributing to the ongoing evolution of Engelhart's technology platform, including architectural design, identification of improvement opportunities and proposal of scalable solutions.
- Designing and implementing new data visualisations for internal dashboards and reporting tools.
- Performing data cleansing, enrichments and transformation using efficient and scalable tools and techniques.
- Developing and maintaining data integration services and query interfaces for internal consumption.
- Participating in, and contributing to, technology projects that support key business initiatives.
About You
This individual will be a strong Python developer with current experience in a commodities trading environment.
In addition to commodities experience, which is an essential criteria to be considered for this role, we believe the following technical skills & experiences will best set someone up for success at Engelhart;
Technical Skills:
- Strong proficiency in Python, including common analytical and visualisation libraries (e.g. Pandas, NumPy, Plotly).
- Experience building APIs using Python frameworks, preferably FastAPI.
- Familiarity with AWS services such as Lambda, Step Functions, Cognito, ECS/Fargate, DynamoDB, CloudWatch and CDK.
- Familiarity with containerisation and orchestration technologies (Docker, Kubernetes).
- Understanding of parallel and distributed data processing concepts.
Soft Skills:
- Strong analytical thinking, logical reasoning and problem-solving abilities.
- A collaborative team player with strong interpersonal skills and experience working with distributed or remote teams.
- Willingness to share knowledge, mentor others and continuously learn from peers.
- Self-motivated and proactive, with the ability to work independently and manage priorities with minimal supervision.
Additional Experiences that are not necessary, but highly desirable:
- Experience designing or building event-driven architectures.
- Experience with applying AI tools, large language models and agent-based workflows to improve business processes, developer productivity or data analysis.
- Familiarity with Model Context Protocol servers and related approaches for connecting AI agents securely to internal systems, APIs, databases and business tools.
What we offer
- Competitive compensation and participation in Engelhart’s discretionary bonus plan.
- 25 days of annual holiday entitlement, excluding UK public holidays.
- Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.
- Eligibility to receive external and internal training in accordance with our Training & Development Policy.
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.
Engelhart London, England Office
Berkeley Square House, 4-19 Berkeley Square, 3rd Floor, Mayfair, London, United Kingdom, W1J 6BR
