Contract & Fulltime Opportunity Available - No Visa Sponsorship options for this role! Hybrid Work 2-3 days work from client office in Downtown Toronto OR Mississauga**
KDB+/q Developer
Our client is seeking a hands-on developer with experience in KDB+/q to support real-time and historical data processing needs within its Markets Technology group. This role focuses on building high-performance analytics platforms to support trading, surveillance, market data, and regulatory reporting, using in-house and open-source Flink deployments (not Confluent).
Key Responsibilities
Design, implement, and maintain streaming data pipelines using Apache Flink (open-source, non-Confluent) to process high-volume trade and market data.
Develop and optimize KDB+/q applications for storing and analysing tick data, order books, and market microstructure analytics.
Collaborate with traders, quants, and risk teams to deliver solutions for real-time decision support and post-trade analysis.
Integrate Flink-based services with Kafka, internal APIs, and downstream data consumers.
Support internal infrastructure teams on deployment, monitoring, and tuning of clusters.
Required Qualifications & Experience
3+ years of experience in KDB+/q development for real-time and historical analytics platforms.
2+ years of experience in queryoptimization, schema design for largetime-series datasets, real-time data processing, memory and CPU tuning
Strong understanding of trading workflows, market data feeds, and risk systems in investment banking
Experience with Kafka for stream ingestion and distribution.
Familiarity with low-latency system design, performance tuning, and distributed computing.
Strong communication skills and ability to work with global teams across Markets and Risk.
Solid understanding of Agile methodologies and CI/CD processes.
Strong problem-solving skills with the ability to prioritize multiple tasks, set goals, and meet deadlines.
Excellent communication skills, capable of articulating complex technical concepts in a multicultural team environment.
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
Prior experience in Equities, FX, or Fixed Income trading technology.
Familiarity with CI/CD tools and infrastructure-as-code frameworks (e.g., Ansible, Terraform).
