Junior Data Engineer – kdb+ and Timeseries Databases

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

As a Junior Data Engineer, 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.

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.

Requirements

• Passion for solving complex data-engineering challenges and strong problem-solving skills.
• Fundamental knowledge of computer science or experience with functional programming languages such as Clojure, Haskell, or Scala, or vectorization in Python, R, Matlab/Octave, or Wolfram Mathematica.
• Interest in technology, automation, and optimizing large datasets.
• Basic understanding of Linux, client-server architecture, cloud infrastructure, and AI/ML concepts.
• Collaborative, proactive approach and ability to manage tasks from inception to release.
• Communicative English.
• Existing legal right to work in the European Union.

Preferred Qualifications

• Knowledge of time-series databases, especially kdb+ and the q language.
• Experience with financial or market-data systems.
• Certifications or experience with cloud platforms or automation tools.