Data Engineer

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

This position is for an experienced Data Engineer who can design robust solutions, optimise performance, and contribute to high-availability, globally distributed infrastructures. Training on kdb+/q will be provided, but prior experience with large-scale, real-time data systems is essential.

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 optimise kdb+ queries and services to deliver ultra-low latency, high-throughput data solutions
• Build aggregation layers and pipelines consumed by APIs, AI/ML models, and dashboards

Data Engineering & Integration

• Expose time-series and analytics data through API gateways and integration layers
• Collaborate closely with data science and AI teams to provide structured, high-quality datasets for predictive models

Performance & Reliability

• Implement advanced monitoring, alerting, and performance tuning for production systems
• Ensure redundancy, failover, and DR strategies meet operational risk criteria

Collaboration & Governance

• Partner with traders, quants, and product owners to translate analytical requirements into efficient data solutions
• Adhere to policies on data governance, compliance, and secure coding standards
• Contribute to code reviews, CI/CD best practices, and engineering process improvements

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

Benefits

Technical

• Experience handling large-scale datasets and distributed systems in production environments
• Proven ability to optimise low-latency, high-volume queries and processes
• Strong scripting and software engineering skills: Python, Bash; Git for version control
• Practical knowledge of Unix/Linux environments, CI/CD automation, and deployment strategies

Domain

• Experience in at least one capital markets domain (FX, Rates, Equities, Credit or Commodities)
• Understanding of electronic trading, market risk, and pricing systems

Software Engineering Practices

• Familiarity with test automation, pipelines, and secure coding principles
• Strong troubleshooting and performance profiling capabilities
• Ability to work under high availability and resiliency standards

Desirable / Nice to Have

• Prior exposure to kdb+/q or functional programming paradigms
• Background in analytics platforms, AI/ML integration, anomaly detection or time-series data
• Previous experience in a global investment bank or electronic trading firm

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.