Senior Software Developer

White Swan Data; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A cutting-edge data science firm in Greater London is seeking an experienced Senior Software Developer. In this dynamic role, you will design and implement data processing pipelines for automated trading systems. Strong proficiency in Python and Java, along with hands-on experience in Google Cloud Platform, is essential. You will collaborate closely with a talented team to solve complex technical challenges and ensure optimal performance. Competitive benefits and a flexible working environment are offered.

Benefits

Annual discretionary performance bonus

25 days holiday per annum

Private health & dental insurance

Pension plan

Gympass membership

Lunch bought in twice a week

Free coffee & snacks at the office

Qualifications

• Proficient in Python and Java with experience in cloud infrastructure.
• Hands-on experience with GCP and Docker containerisation.
• Knowledge of building and optimising low-latency systems.

Responsibilities

• Design and develop low-latency data processing pipelines.
• Implement integrations with trading platforms.
• Monitor system performance to maintain latency targets.
• Collaborate with quantitative analysts to translate strategies.

Skills

Strong skills in Python

Strong skills in Java

Hands-on experience with Google Cloud Platform (GCP)

Experience building and integrating with RESTful APIs

Understanding of performance optimisation techniques

Solid grasp of data pipeline design

Tools

Docker

Job description

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Senior Software Developer

Department: Engineering

Employment Type: Full Time

Location: London, UK

Description

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 oflezza. skills and creativity to identify and capitalise on inefficiencies Svet 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.

About the Role

We havequé an opportunity for an experienced developer to join a fast-developingly area of our business. This role will be joining a small and dynamic team developing a cutting-edge trading systems.

We are building systems that process real-time market and event-based information to execute automated trading strategies with millisecond latency. 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, Loaded, develop, and optimise cloud based low-latency data processing pipelines.
• Implement and maintain integrations with multiple trading platforms.
• Enhance existing trading strategy implementations for improved performance.
• Design and implement real-time data processing and analytical reporting pipelines.
• Monitor and optimise system performance to maintain millisecond-level latency targets.
• Collaboratesnap 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

Must have:

• Programming Proficiency: Strong skills in Python and Java.
• Cloud यू Infrastructure: Hands-on experience with Google Cloud Platform (GCP) and Docker containerisation.
• API Development: Experience building and integrating with RESTful APIs, particularly for real‑time applications.
• Low‑Latency Systems: Understanding of performance optimisation 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 аҟ analytical workloads.

Nice to have:

• Experience in a trading environment.
• Industry experience in wagering/betting.

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 every day and lunch bought in twice a week
• Free coffee & snacks at the office.
• Regular team events & socials.

While the role is advertised as on-site we are happy to discuss flexibility in working arrangements on a case‑by‑case basis scan.

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