kdb+ architecture and time-series data platform builder for capital markets
Data Intellect builds kdb+ systems and time-series data platforms for financial services and capital markets firms. The tech stack reveals deep specialization: kdb+ and kdb sit alongside Python, Kubernetes, Airflow, and cloud infrastructure (AWS, GCP, Azure), with C++ and Java for high-performance components. Project work clusters around kdb+ architecture design, real-time market data ingestion, and scaling production systems handling billions of rows—pain points that reflect the technical demands of their client base. Hiring is engineering-only and accelerating, concentrated in senior and mid-level roles across US, UK, Canada, Singapore, and China.
Data Intellect is a 201–500-person consulting firm headquartered in Belfast, UK, specializing in time-series and big-data solutions for capital markets and adjacent sectors including fintech, healthcare, renewables, and telematics. The company designs and deploys complete-system solutions around kdb+, a high-performance time-series database, alongside modern data engineering tools (Airflow, Kubernetes, Python). Engagements typically involve kdb+ platform architecture, real-time data ingestion pipelines, analytics infrastructure, and market surveillance systems. Client work spans greenfield builds and scaling existing production deployments in cloud-hosted environments.
Core tools: kdb+, Python, Kubernetes, Apache Airflow, Pandas, Polars, PostgreSQL. Supporting: AWS, GCP, Azure, C++, Java, FastAPI, GraphQL, React. Now adopting RAG for enhanced data solutions.
kdb+ architecture design, real-time market data ingestion, time-series analytics platforms, and high-performance data solutions for capital markets and financial services firms handling billions of data rows.
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.