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Senior software engineer

London
White Swan Data
Software engineer
Posted: 28 July
Offer description

Senior Software Engineer

Department: Engineering

Employment Type: Full Time

Location: London, UK



Description

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 platforms 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.


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