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).