Data Engineer

What You’ll Do

• Design, develop, and optimize kdb+ processes and queries to meet low-latency, high-throughput requirements for AI Markets use cases.
• Build analytic and aggregation layers for consumption by downstream systems, APIs, and AI/ML models.
• Expose kdb+ data and analytics via APIs/services to front-ends, AI engines, and reporting tools.
• Collaborate with AI/data engineering teams to provide structured datasets for model training and execution.
• Implement monitoring, alerting, and capacity management for kdb+ environments.
• Ensure resilience, failover, and disaster recovery strategies for critical market-facing services.
• Partner with traders, sales, quants, and product owners to translate business requirements into technical solutions.
• Adhere to operational risk, model risk, and data governance policies, including auditability and access control.
• Contribute to code reviews, development standards, and best practices for kdb+ and related technologies.

Requirements

• Strong hands-on experience with large-volume datasets in production environments.
• Proven ability to optimize data queries and processes for low-latency, high-volume data.
• Proficiency in Unix/Linux, scripting (Bash, Python), and version control (Git).
• Experience in FX, Rates, Credit, Equities, or Commodities trading environments.
• Understanding of electronic trading, pricing, and risk concepts.
• Experience with CI/CD pipelines, automated testing, and service deployment.
• Strong debugging and problem-solving skills in production environments.
• Clear understanding of secure coding, data protection, and operational risk principles.

Nice to Have

• Experience with kdb+.
• Experience supporting AI/ML or analytics platforms.
• Familiarity with time-series analytics, anomaly detection, or signal generation for trading or client analytics.
• Previous experience in a global investment bank or electronic trading firm.

We offer

• Full-time employment contract.
• Hybrid work model in Kraków.
• Stable and long-term cooperation.
• Well-defined career path.
• Participation in conferences, trainings, workshops, and integration meetings.
• Certification and training opportunities.
• Opportunity to relocate and work in different branches.
• Opportunity to engage in a subsequent project after completion of the current project.
• Introduction and cooperation with a dedicated Competences Manager.

Benefits

• Medicover medical care.
• Medicover dental care.
• Medicover Benefits platform.
• Medicover Sport card.
• Referral Program.
• Layette for a newborn employee’s child.
• Group life insurance.
• Pension scheme.

B2B or contract-of-mandate cooperation is also available. Under this model, you may have the opportunity to:

• Access the Medicover Sport program on a self-funded basis.
• Access the Medicover Platform.
• Access an Allianz insurance option on a self-funded basis.
• Receive expert support from Competences Center and Practices & Expertise functions.
• Support additional business initiatives, including PoCs, client engagements, and technical assessments, under a separately agreed scope.
• Access professional certifications with technology partners, such as Google and ISTQB.
• Participate in relevant industry events.
• Participate in the Knowledge Sharing Program.
• Participate in the Referral Program.
• Continue cooperation through subsequent projects after project completion.