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Software Engineer

White Swan DataLondon10 дн. назад

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Designs and maintains data acquisition systems from social media and unstructured sources, implements relational database schemas and API integrations, and · Needs: Strong Java (Spring) and Python skills; working knowledge of R; hands-on GCP and Docker experience; experience with RESTful APIs and LLM integration for

Описание от работодателя

We are looking for a Developer to join our small, dynamic team building cutting-edge football trading systems. You'll work on low-latency market-making infrastructure across a range of prediction markets and trading venues, alongside the real-time data pipelines that feed our models, including LLM-driven systems that turn social media and other unstructured sources into structured data. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success. Key Responsibilities Collaborate closely with our traders, quants and football analysts to ensure data utility and accuracy Design, develop, and maintain data acquisition systems taking inputs from social media and other unstructured online sources, which produce timely structured data for internal use in models and trading systems Implement and maintain relational database schemas and API integrations which interface the above with internal modeling and trading systems Enhance and refactor existing systems for scale and performance Monitor and optimize system performance to maintain and improve low-latency pipelines Collaborate closely with football analyst team to ensure data utility and accuracy Skills, Knowledge and Expertise Postgres : Familiarity with Postgres and/or other traditional RDBMS. Programming Proficiency : Strong skills in Java (Spring), experience in Python, and working knowledge of R Cloud & Infrastructure : Hands-on experience with Google Cloud Platform (GCP) and Docker containerization API Development : Experience building and integrating with RESTful APIs, particularly for real-time applications AI/LLM integration : Experience with design and delivery of analytics pipelines which include LLM elements for conversion of unstructured to structured data: familiarity with prompt engineering in this domain with OpenAIand/ or other frontier model APIs Version Control & CI/CD : Proficiency with Git and modern deployment practices Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in everyday and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.