kdb+ and time-series data engineering consultancy for capital markets
Data Intellect is a Belfast-based engineering consultancy building high-volume time-series systems, with kdb+ at the core alongside C++, Python, Java and C# across AWS, GCP and Azure. Hiring is almost entirely senior and mid-level engineering across the US, UK, Canada, Singapore and China, and ClickHouse adoption suggests a broadening beyond kdb+ into columnar analytics. Job posts repeatedly center on risk platform modernisation and real-time market data ingestion.
Data Intellect is a privately held consultancy headquartered in Belfast, United Kingdom, with 201–500 employees. It designs and delivers complete data systems for clients in financial services and capital markets, with additional work in sectors such as healthcare, renewables and telematics. Its specialty is time-series and performance-focused software engineering, particularly kdb+ architectures for large data volumes. Delivery spans data analytics, engineering and infrastructure work across major cloud providers, and the firm hires engineers in North America, Europe and Asia.
Data Intellect works with kdb+, C++ (C++17/C++20), Python, Java, C#, Go and TypeScript, on AWS, GCP and Azure, with Kubernetes, Terraform, Ansible, Apache Airflow, PostgreSQL and ClickHouse.
Data Intellect hires in the United States, United Kingdom, Canada, Singapore and China, with openings concentrated in senior and mid-level engineering roles.
Current work includes kdb+ architectures for high-volume time-series data, risk technology transformation programmes, real-time market data ingestion, risk hedging and portfolio optimisation tools, and high-performance analytics platforms.
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Data Intellect's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.