Junior Hybrid Data Engineer (KDB+/Q, Time-Series)

GFT TECHNOLOGIES SE; Kraków; Hybrid; PLN 97,000 - 155,000; Full time

Benefits offered by this job

Hybrid work in Kraków

Medical, sport, lunch subsidy

Online trainings

E-learning platform

Job summary

GFT Poland is seeking a data-enabled engineer to join the AI Markets development team in Kraków. You will work with KDB+/q to build high-performance data solutions, analytics, and scalable APIs for traders, quants, and external clients.

In this hybrid role, you will optimize data access, collaborate with global teams, and contribute to resilience and governance of critical services. Strong CS fundamentals and interest in vectorized Python/R tooling are valued.

Qualifications

• Experience with KDB+/q and time-series data processing.
• Solid understanding of functional programming concepts.
• Proficiency in Python and API-based integrations.

Responsibilities

• Develop and optimize KDB+ processes and queries for low latency and high throughput.
• Build analytics layers consumed by downstream systems and AI/ML models.
• Expose data and analytics via APIs and services.
• Collaborate with AI, data engineering, traders and quants to deliver solutions.
• Ensure resilience, monitoring, and data governance across environments.

Skills

KDB+/q knowledge

Functional programming

Python

Linux basics

Cloud awareness

Collaboration

Tools

KDB+/q

APIs

Cloud platforms

Job description

GFT Poland is seeking a data-enabled engineer to join the AI Markets development team in Kraków. You will work with KDB+/q to build high-performance data solutions, analytics, and scalable APIs for traders, quants, and external clients.

In this hybrid role, you will optimize data access, collaborate with global teams, and contribute to resilience and governance of critical services. Strong CS fundamentals and interest in vectorized Python/R tooling are valued.