Junior Data Engineer

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. The AI Markets development team focuses on reporting, analytics, and management information from multiple data sources for senior management, quants, traders, and external clients, using advanced technologies including the kdb+ time-series database.

• Strong analytical mindset with a passion for solving complex data engineering challenges
• Solid computer science fundamentals or experience with functional programming languages (Haskell, Clojure, Scala) or vectorization skills in Python, R, MATLAB, or Wolfram
• Interest in large datasets, data modeling, and statistical concepts
• Familiarity or willingness to learn Linux, Cloud infrastructure, and AI/ML integration
• Ability to own tasks from requirements gathering to implementation and testing with cooperative engagement
• Excellent problem-solving skills, proactive attitude, and strong communication skills

Nice to have:

• Experience in financial services or trading environments
• Knowledge of cloud platforms and distributed systems
• Exposure to kdb+/q or interest in building expertise

• Develop and optimize kdb+ queries and processes to meet low-latency, high-throughput performance requirements
• Build analytic and aggregation layers that feed APIs, downstream systems, and AI/ML workflows
• Expose kdb+ data to front-end applications, AI engines, and reporting systems via APIs
• Collaborate with AI/data engineering teams to deliver structured, high-quality datasets for models
• Implement monitoring and alerting solutions for kdb+ environments
• Support failover strategies and disaster recovery plans for critical services
• Partner with traders, quants, and business stakeholders to translate requirements into scalable solutions
• Adhere to internal policies around data governance, operational risk, and model risk compliance