Data Engineer

At Mindbox we 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?

What you'll be doing

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.

What you get in return

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

Who we're looking for

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’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.

Ready to take the next step?

Submit your application! We look forward to reviewing your profile 😊

Know someone who might be a great fit?
Feel free to share this opportunity using the referral link: Mindbox Referrals System