Senior Software Engineer

White Swan Data; London; On-site; GBP 200,000 +; Full time

Job summary

A tech firm in London seeks a Senior Software Engineer to design BigQuery solutions for real-time, low-latency data processing. The role involves optimizing trading strategies, maintaining API integrations, and monitoring system performance. Strong skills in Python, Java, and Google Cloud Platform are required. Benefits include private health insurance and gym memberships.

Benefits

Annual discretionary performance bonus

25 days holiday per annum

Private health & dental insurance

Gympass membership

Free coffee & snacks at the office

Responsibilities

• Design, develop, and optimize BigQuery-based solutions for real-time data processing.
• Implement and maintain API integrations with trading platforms.
• Enhance and refactor existing model implementations for performance.
• Monitor and optimize system performance to maintain low latency.

Skills

BigQuery Expertise

Postgres

Programming Proficiency

Cloud & Infrastructure

API Development

Low-Latency Systems

Data Engineering

Version Control & CI/CD

Tools

Python

Java

Google Cloud Platform (GCP)

Docker

Git

Job 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 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.