Junior Data Engineer

At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.

You will join the AI Markets development team, responsible for providing reporting, analytics, and management information from multiple data sources to a diverse set of users, including senior management, quants, traders, and external clients.

A key component of this solution is kdb+, one of the most advanced time-series databases where speed and performance at scale are critical. You will work with large datasets and real-time systems, focusing on data engineering, performance optimization, and API integration.

Sounds like your kind of challenge?

Responsibilities

• Flexible cooperation model
• Hybrid work setup - remote days available depending on the client’s arrangements - 2 days a week from the office in Kraków
• Collaborative team culture - work alongside experienced professionals eager to share knowledge
• Continuous development - access to training platforms and growth opportunities
• Comprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more
• High quality equipment - laptop and essential software provided

Requirements

Platform Design & Development

• 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

Data Engineering & Integration

• 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

Performance & Reliability

• Implement monitoring and alerting solutions for kdb+ environments
• Support failover strategies and disaster recovery plans for critical services

Collaboration & Governance

• 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 complia

Note:Detailed project information will be shared during the recruitment process.

Benefits

• A strong analytical mindset and 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

Joining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’llback you up every step of the way, accelerate your development, and ensure your skills make a difference.