Engelhart - Software Engineer
Requirements
• 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. • 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.
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. • 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; • In addition to commodities experience, which is an essential criteria to be considered for this role • technical
Benefits
• 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. • 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.
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