Skills

Python Java CI/CD Docker Version Control Social Media Programming git Google Cloud Platform Analytics Spring GCP PostGres

Job Specifications

Department: Engineering

Location: London, UK

Description

We are looking for a Developer to join our small, dynamic team developing cutting-edge football data acquisition and analysis systems. We are leveraging frontier LLM systems to generate high-value structured data in real time, from diverse data sources, including social media. 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

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.

About the Company

At White Swan Data we decide what is worth betting on. Over the past 15 years the technology at the heart of our business has produced consistent and significant returns for our clients. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class betting models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - betting and gambling, quantitative research and software development.... Know more