Software Engineer

White Swan Data; Greater London; On-site; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Salary depending on experience.

Annual discretionary performance bonus

25 days holiday per annum

Private health & dental insurance

Pension plan

Gympass membership

Breakfast and lunch provided

Free coffee & snacks

Team events & socials

Job summary

White Swan Data seeks a Software Engineer to join a small, dynamic team building football data acquisition and analysis systems in London. You will develop real-time data pipelines from social media and other sources, delivering structured data for internal models and trading tools.

You'll work with Java (Spring), Python, and R, deploy on Google Cloud Platform with Docker, and implement RESTful APIs for real-time applications.

Qualifications

• Experience designing data acquisition pipelines from unstructured online sources.
• Strong backend development skills and API integration experience.
• Familiarity with cloud infrastructure and containerization.

Responsibilities

• Design, develop, and maintain data acquisition systems pulling data from social media and other sources.
• Implement and maintain relational DB schemas and API integrations for modeling/trading systems.
• Refactor and optimize systems for scale and low latency.

Skills

Postgres

Java (Spring)

Python

R

Google Cloud Platform

Docker

REST APIs

LLM integration

Prompt engineering

Git

CI/CD

Job description

Software Engineer

Department: Engineering

Employment Type: Fixed Term - Full Time

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.