We currently have an opportunity for an experienced Developer to join this fast developing area of our business. This role will be joining a small, dynamic team developing a cutting-edge in-play football modelling and trading platform.
We are building systems that process real-time match and market data to execute automated trading strategies with millisecond latency - think high-frequency financial trading meets sports analytics. 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 optimize BigQuery-based solutions for real-time, low-latency data processing
Implement and maintain API integrations with multiple trading platforms
Enhance and refactor existing model and trading strategy implementations for improved performance
Design and implement BigQuery schemas for both real-time data processing pipelines and analytical reporting
Monitor and optimize system performance to maintain millisecond-level latency targets
Collaborate closely with quantitative analysts to translate trading strategies into production code
Maintain and improve our GCP-based infrastructure and deployment pipelines
Skills, Knowledge and Expertise
BigQuery Expertise
: Solid understanding of BigQuery architecture and optimization techniques.
Postgres
: Familiarity with Postgres and/or other traditional RDBMS.
Programming Proficiency
: Strong skills in Python and Java, with 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
Low-Latency Systems
: Understanding of performance optimization techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event-driven systems
Data Engineering
: Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads
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 White Swan Data
Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones.
Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board.
As a startup, we offer a dynamic and entrepreneurial environment where you'll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry.
At White Swan Data, we recognise that building a diverse and inclusive workforce within a highly technical field presents both opportunities and challenges. We recognise the value that a variety of perspectives can bring to innovation, problem-solving, and business success. A team composed of individuals from different backgrounds, experiences, and ways of thinking fosters creativity, enhances decision-making, and ultimately strengthens our ability to tackle complex challenges.
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