Python Engineer – Risk & Finance Tech (Commodities)

Engelhart; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

25 days annual holiday entitlement

Medical, dental, life insurance

Generous pension contribution

Training & Development

Job summary

Engelhart is seeking a Python Software Engineer with ~5 years of experience to deepen expertise in commodities trading within the Risk, Finance & Compliance technology function. You will own initiatives end-to-end from requirements through production deployment, collaborating with a small, delivery-focused team to deliver tangible business impact.

You will work closely with Risk, Finance and Front Office users, building scalable data solutions, visualisations and APIs using Python, AWS, Docker

Qualifications

• 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.

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.

Skills

Python

Pandas

NumPy

Plotly

FastAPI

APIs (Python frameworks)

AWS (Lambda, Step Functions, Cognito,,

ECS/Fargate

DynamoDB

CloudWatch

CDK

Docker

Kubernetes

Parallel & distributed data processing

Tools

Python

Docker

Kubernetes

AWS

FastAPI

Job description

Engelhart is seeking a Python Software Engineer with ~5 years of experience to deepen expertise in commodities trading within the Risk, Finance & Compliance technology function. You will own initiatives end-to-end from requirements through production deployment, collaborating with a small, delivery-focused team to deliver tangible business impact.

You will work closely with Risk, Finance and Front Office users, building scalable data solutions, visualisations and APIs using Python, AWS, Docker