Junior Data Engineer

Technologies we use

Expected

• Haskell
• Clojure
• Scala
• Python
• R
• Matlab
• Wolfram

Operating system

• Linux

About the project

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?

This is how we organize our work

This is how we work

• agile

Your responsibilities

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.

Our requirements

• 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

Optional

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

What we offer

• Flexible cooperation model
• Hybrid work setup – 6 days per month from Kraków office
• 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.

This is how we work on a project

• Continuous Deployment
• Continuous Integration

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance

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

Mindbox Sp. z o.o.

At Mindbox, we connect top IT talents with technology projects for leading enterprises across Europe.

Our focus is on matching your skills with work that matters – projects that use modern tech stacks, solve real business challenges, and give you space to grow. By joining us, you’ll deliver technology solutions for well-known brands, supported by the Mindbox team that values knowledge-sharing and continuous development. We make sure you have the tools, flexibility, and guidance to do your best work – and to keep moving forward in your career.