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Software Engineer
Job summary
A data technology company in London seeks a Software Engineer to develop cutting-edge football data acquisition and analysis systems. The role includes designing data acquisition systems from social media and integrating APIs for real-time applications. Candidates should have experience in Java, Python, GCP, and LLM integration. Competitive salary and benefits are provided.
Benefits
Qualifications
- Familiarity with Postgres and/or other traditional RDBMS.
- Strong skills in Java (Spring), experience in Python, and working knowledge of R.
- Hands-on experience with Google Cloud Platform (GCP) and Docker.
- Experience building and integrating with RESTful APIs, particularly for real-time applications.
- Familiarity with AI/LLM elements for data conversion and prompt engineering.
- Proficiency with Git and modern deployment practices.
Responsibilities
- Design and maintain data acquisition systems from social media.
- Implement and maintain relational database schemas and API integrations.
- Enhance, refactor, and optimize existing systems for performance.
- Collaborate with the football analyst team to ensure data accuracy.
Skills
Department: Engineering
Employment Type: Full Time
Location: London, UK
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.
- 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
- 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 OpenAI and/ or other frontier model APIs
- Version Control & CI/CD: Proficiency with Git and modern deployment practices
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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