Junior Data Engineer (KDB)
Summary
Build and optimize KDB+/q time-series databases for financial markets, creating low-latency analytics and APIs used by traders, quants, and AI models.
You will join the AI Markets development team and work with KDB+/q, one of the most advanced time-series database technologies used in financial markets. The team delivers reporting, analytics, and management information for traders, quants, sales teams, senior management, and external clients. You will help develop high-performance data solutions, optimize access to large datasets, and support AI Markets capabilities through scalable analytics and APIs while collaborating with global teams across Europe, Asia, and North America.
- Develop and optimize KDB+ processes and queries for low-latency and high-throughput applications
- Build analytics and aggregation layers consumed by downstream systems, APIs, and AI/ML models
- Expose KDB+ data and analytics through APIs and services
- Work with AI and data engineering teams to prepare datasets for model training and execution
- Implement monitoring, alerting, and capacity management for KDB+ environments
- Support resilience, failover, and disaster recovery capabilities for critical services
- Collaborate with traders, quants, sales teams, and product owners to deliver business solutions
- Ensure compliance with operational risk, model risk, and data governance requirements
- Participate in data analysis, testing, and software delivery activities
- Analytical mindset with a passion for solving complex data engineering problems
- Strong computer science fundamentals
- Knowledge of functional programming concepts or experience with languages such as Clojure, Haskell, or Scala
- Interest in vectorized programming approaches using Python, R, Matlab/Octave, or Wolfram Mathematica
- Passion for technology, automation, and continuous improvement
- Interest in large‑scale data processing and basic statistical concepts
- Knowledge of or willingness to learn Linux and client‑server technologies
- Interest in cloud infrastructure and AI/ML technologies
- Ability to understand requirements and translate them into technical solutions
- Strong collaboration and problem‑solving skills
Nice to have
- Knowledge of KDB+/q
- Experience with financial markets or trading systems
- Knowledge of API development
- Experience with cloud platforms
- Understanding of monitoring and observability tools
- Exposure to AI/ML projects
We offer
- Hybrid work in our client's office (Kraków) 8 days a month
- Working in a highly experienced and dedicated team
- Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)