Mustard Systems Ltd. Tech Stack

Pricing models and real-time data infrastructure for sports betting and trading

Software Development London 11–50 employees Founded 2014 Privately Held

Mustard Systems builds pricing models and data infrastructure for licensed bookmakers and professional traders. The stack—Snowflake, Kafka, dbt, Python, PostgreSQL—reflects a data-first architecture optimized for real-time feature generation, but the active pain points (data warehouse cost optimization, low-latency feed reliability, pipeline freshness observability) suggest they're hitting scaling limits common to young trading-tech companies. Projects spanning web scraping, computer vision on cricket broadcasts, and liquidity provider reverse-engineering indicate they're building proprietary data collection to solve liquidity and signal sourcing constraints.

Tech Stack 19 technologies

Core StackSnowflake PostgreSQL Kafka dbt Python JavaScript TypeScript Go RabbitMQ Redis Linux OpenTelemetry Prometheus Grafana AWS Jupyter Git Zabbix SQL

What Mustard Systems Ltd. Is Building

◆Challenges

Data warehouse cost/performance optimization
Ensuring data pipeline reliability
Improving data freshness observability
Expanding liquidity provider access
Low-latency data feeds
System visibility
Reducing manual effort across the business
Scaling data extraction pipeline
Optimising data warehouse cost performance
Low-latency trading

▲Active Projects

Improving trading systems
Data pipeline infrastructure scaling
Data ingestion workflow development
Semantic model development
Expand access to new liquidity providers through web scraping and reverse engineering
Develop and maintain low-latency real-time data feeds for trading strategies
Enhance system visibility for integration insights
Cricket video extraction systems
Computer vision pipelines for cricket broadcasts
Scale systems to process large volumes of historical footage

Hiring Activity

Steady9 roles · 3 in 30d

Department

Data

Engineering

Seniority

Mid

Senior

Junior

Manager

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About Mustard Systems Ltd.

Mustard Systems develops pricing models and operates data infrastructure for sports betting operators and professional gamblers. Founded in 2014 as a spin-out from a quantitative research firm, the company is based in London with 11–50 employees. The business model centers on selling pricing services and modeling capabilities to licensed bookmakers, augmented by internal data pipelines that ingest market feeds, historical sports footage, and liquidity data. The team is weighted toward data engineering (5 roles) and software engineering (3 roles), with mid and senior-level hiring dominating recent activity.

HeadquartersLondon

Company Size11–50 employees

Founded2014

Hiring MarketsUnited Kingdom

Frequently Asked Questions

What tech stack does Mustard Systems use?

Mustard Systems uses Snowflake, PostgreSQL, Kafka, dbt, Python, JavaScript, TypeScript, Go, Redis, RabbitMQ, and monitoring tools including OpenTelemetry, Prometheus, and Grafana. All infrastructure runs on AWS and Linux.

What is Mustard Systems working on?

Projects include improving trading systems, scaling data pipelines, developing low-latency real-time feeds, expanding liquidity provider access through web scraping, and building computer vision systems to extract data from cricket broadcasts for sports analytics.