Senior KDB Data Engineer – Financial Trading Analytics

Unleash the Power of Data in Financial Trading – Drive Cutting-Edge Analytics with kdb+! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior KDB+ Data Engineer, you will be working for our client, a leading player in the financial trading industry. You will contribute to the development of scalable analytics and reporting solutions by leveraging high-performance timeseries databases (kdb+/q). Join a global team committed to delivering innovative solutions that shape the future of institutional trading and investment analytics. Your main responsibilities: Develop and optimise kdb+ processes and queries to support low-latency, high-throughput trading analytics.Build analytical and aggregation layers for consumption by downstream systems, APIs, and AI/ML models.Expose kdb+ data and analytics via APIs and services to various front-end and AI engines.Collaborate with AI/data engineering teams to provide structured datasets for machine learning training and inference.Implement monitoring, alerting, and capacity planning for production kdb+ environments.Ensure resilience, failover, and disaster recovery plans for market-facing trading systems.Partner with traders, quants, and product teams to translate business needs into technical solutions.Follow internal policies on operational risk, data governance, and security, including auditability and access controls.Contribute to code reviews, establish best practices, and maintain high standards in kdb+ development. You’re ideal for this role if you have: At least 5 years of experience working with large volume datasets in a production environment.Proven expertise in optimizing data queries and processes for low-latency, high-volume environments.Strong knowledge of Unix/Linux, scripting languages (e.g., Bash, Python), and version control (Git).Experience within FX, Rates, Credit, Equities, or Commodities trading environments.Understanding of electronic trading, pricing, and risk management concepts.Familiarity with CI/CD pipelines, automated testing, and deployment practices.Excellent problem-solving and debugging skills in production systems.Clear understanding of secure coding practices, data protection, and operational risk principles. It is a strong plus if you have: Prior experience with kdb+ or time-series databases.Experience supporting AI/ML or advanced analytics platforms.Knowledge of anomaly detection, signal generation, or other time-series analytics.Background in global investment banking or electronic trading firms. Language Required for the role: Fluent English, with good command of technical and business communication. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.