Senior Data Engineer (KDB)

GFT Poland is an IT engineering and consulting company with over 1200 experts. The team for this role develops an advanced analytics and reporting platform for AI Markets based on high-volume market data, utilizing cutting-edge time-series database technologies.

• Strong hands-on experience working with large-scale datasets in production environments
• Proven experience optimizing high-volume and low-latency data processing solutions
• Experience with data engineering and distributed data platforms
• Strong knowledge of Unix/Linux environments
• Experience with scripting languages such as Python or Bash
• Strong knowledge of Git and version control practices
• Experience with CI/CD pipelines and automated deployment processes
• Strong debugging and problem-solving skills in production environments
• Understanding of secure coding, data protection, and operational risk principles
• Experience within at least one trading domain such as FX, Rates, Credit, Equities, or Commodities
• Understanding of electronic trading, pricing, and risk concepts
• Ability to work closely with business and quantitative stakeholders

Nice to have:

• Experience with KDB+/q
• Experience supporting AI/ML platforms
• Experience building analytics platforms
• Knowledge of time-series databases and time-series analytics
• Experience with anomaly detection solutions
• Experience with signal generation for trading or client analytics

• Develop and optimize KDB+ processes and queries for low-latency and high-throughput environments
• Build analytics and aggregation layers for downstream applications, APIs, and AI/ML models
• Expose data and analytics through APIs and services for business and technology stakeholders
• Collaborate with AI and data engineering teams to deliver structured datasets for model training and execution
• Implement monitoring, alerting, and capacity management across KDB+ environments
• Ensure resilience, failover capabilities, and disaster recovery strategies for critical services
• Translate business requirements into technical solutions together with traders, quants, sales teams, and product owners
• Maintain compliance with operational risk, model risk, and data governance standards
• Participate in code reviews and contribute to development standards and best practices
• Support continuous improvement of platform capabilities and performance