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Junior Data Engineer – kdb+ and Timeseries Databases

Krakow
Hybrid

27 300 - 32 760

PLN

(B2B)

19 500 - 23 500

PLN

brutto (Employment Contract)

Cloud infrastructure kdb+ Linux MATLAB Octave Python q language R Wolfram Mathematica
English
Junior
Investment Banking
Data Engineer

Unleash the Power of Real-Time Data — Drive Innovation in Financial Markets!

Krakow-based opportunity with hybrid work model.

As a Junior Data Engineer, you will be working for our client, a leading player in the digital transformation of global financial markets through cutting-edge AI and data solutions. You will contribute to building high-performance, low-latency systems that enable institutional investors and market professionals to make smarter decisions with real-time analytics and insights.

Your main responsibilities:

  • Develop and optimize kdb+ processes and queries to ensure maximum speed and efficiency for market-facing applications.
  • Build analytic and aggregation layers that support downstream systems, APIs, and AI/ML models.
  • Expose kdb+ data and analytics via APIs to front-end applications, AI engines, and reporting tools.
  • Collaborate with AI and data engineering teams to provide clean, structured datasets for model training and deployment.
  • Implement monitoring, alerting, and capacity management strategies to sustain high availability of critical services.
  • Ensure resilience and disaster recovery plans are in place for all market-critical solutions.
  • Partner with traders, quants, sales, and product owners to translate business needs into robust technical solutions.
  • Follow internal policies on operational risk, data governance, and auditability to maintain compliance and security.

You're ideal for this role if you have:

  • A passion for solving complex data engineering challenges with strong problem-solving skills.
  • Fundamental knowledge in computer science or experience with functional programming languages such as Clojure, Haskell, Scala, or vectorization in Python, R, Matlab/Octave, Wolfram Mathematica.
  • A keen interest in technology, automation, and optimizing large datasets.
  • Basic understanding of Linux, server-client architecture, cloud infrastructure, AI/ML concepts.
  • A collaborative mindset, proactive problem-solver, with the ability to manage tasks from inception to release.

It is a strong plus if you have:

  • Knowledge of Timeseries databases, especially kdb+ (q language).
  • Experience with financial or market data systems.
  • Certifications or experience in cloud platforms or automation tools.

Language required for the role: English — communicative level.

Eligibility to work in Europe: Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

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