Junior Data Engineer – kdb+ and Timeseries Databases

Our client is a leading player in the digital transformation of global financial markets through cutting-edge AI and data solutions.

• 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.
• Keen interest in technology, automation, and optimizing large datasets.
• Basic understanding of Linux, server-client architecture, cloud infrastructure, and AI/ML concepts.
• Collaborative mindset and ability to manage tasks from inception to release.

Nice to 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.

• Develop and optimize kdb+ processes and queries to ensure maximum speed and efficiency for market-facing applications.
• Build analytic and aggregation layers supporting 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 for high availability of critical services.
• Ensure resilience and disaster recovery plans for market-critical solutions.
• Partner with traders, quants, sales, and product owners to translate business needs into technical solutions.
• Follow internal policies on operational risk, data governance, and auditability for compliance and security.

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