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About the Role

This role offers an exciting opportunity for a Python Software Engineer with approximately five years of experience to deepen their expertise in commodities trading within the Engelhart Technology team's Risk, Finance & Compliance function. The position involves high autonomy, direct exposure to stakeholders, and end-to-end ownership of initiatives. It provides a unique chance to influence the company's technology landscape and deliver impactful solutions in a collaborative, delivery-focused team environment.

Responsibilities

Designing, developing, maintaining, and enhancing in-house systems and third-party integrations.
Collaborating with Risk & Finance teams to translate business requirements into technical solutions.
Providing technical support to Risk, Finance, and Front Office users.
Contributing to the evolution of the technology platform, including architectural design and identifying improvement opportunities.
Designing and implementing new data visualizations for internal dashboards and reporting tools.
Performing data cleansing, enrichment, and transformation using efficient and scalable tools.
Developing and maintaining data integration services and query interfaces.
Participating in technology projects supporting key business initiatives.

Requirements

Strong Python developer with current experience in a commodities trading environment.
Strong proficiency in Python, including analytical and visualization 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 containerization and orchestration technologies (Docker, Kubernetes).
Understanding of parallel and distributed data processing concepts.
Strong analytical thinking, logical reasoning, and problem-solving abilities.
Collaborative team player with strong interpersonal skills and experience working with distributed or remote teams.
Willingness to share knowledge, mentor others, and continuously learn.
Self-motivated and proactive, with the ability to work independently and manage priorities with minimal supervision.
Experience designing or building event-driven architectures (highly desirable).
Experience with applying AI tools, large language models, and agent-based workflows (highly desirable).
Familiarity with Model Context Protocol servers and related approaches (highly desirable).

Skills

Python
Pandas
NumPy
Plotly
API Development
FastAPI
AWS
Lambda
Step Functions
Cognito
ECS/Fargate
DynamoDB
CloudWatch
CDK
Docker
Kubernetes
Data Processing
Analytical Thinking
Problem-Solving
Collaboration
Interpersonal Skills
Mentoring
Continuous Learning
Self-Motivation
Proactiveness
Event-Driven Architectures
AI Tools
Large Language Models
Agent-Based Workflows
Model Context Protocol

Location

Remote

Work Type

Full-time

Experience Level

Approximately five years of experience

Salary/Compensations

Competitive compensation
Participation in Engelhart’s discretionary bonus plan

Benefits

25 days of annual holiday entitlement, excluding UK public holidays
Medical insurance
Dental insurance
Life insurance
Generous pension contribution
Supplemental benefits partially subsidized by the Company

About the Company

Engelhart was founded in 2013 as a commodities trading company, operating with an "asset light" and highly diversified business model.
The company leverages advanced fundamental analysis with deep quantitative and weather research capabilities, underpinned by strong risk management, technology, and operational excellence.
In 2024, Engelhart acquired Trailstone, a global energy trading and technology company, expanding capabilities into physical natural gas and renewable power risk management.
Company values include Performance, Agility, Collaboration, and Entrepreneurship.

Equal Opportunity

Dedicated to ensuring all employees feel welcome and included, regardless of gender identity, race, ethnicity, sexual orientation, religion, life experience, background, and more.
Promotes diversity as essential for holistic thinking.