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Senior KDB+ Data Engineer – Financial Trading Analytics

27.3k - 32.8k PLN/ mies.B2B
SeniorFull-time·B2B
#438177·Dodano dziś·0
Źródło: justjoin.it
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Tech Stack / Keywords

KDB+/qTime-Series Database ManagementUNIX/LINUXFinancial Trading Domain KnowledgePythonBash ScriptingGitCI/CD pipelinesAPI DevelopmentAI/ML Data Engineering

Firma i stanowisko

You will be working for ITDS client, a leading player in the financial trading industry, contributing to scalable analytics and reporting solutions leveraging high-performance timeseries databases (kdb+/q). The role is based in Krakow with a hybrid work model (up to 3 remote days per week).

Wymagania

  • At least 5 years of experience with large volume datasets in production environments.
  • Expertise in optimizing data queries and processes for low-latency, high-volume environments.
  • Strong knowledge of Unix/Linux, scripting languages (Bash, Python), and version control (Git).
  • Experience within FX, Rates, Credit, Equities, or Commodities trading environments.
  • Understanding of electronic trading, pricing, and risk management concepts.
  • Familiarity with CI/CD pipelines, automated testing, and deployment practices.
  • Excellent problem-solving and debugging skills in production systems.
  • Clear understanding of secure coding practices, data protection, and operational risk principles.

Nice to have:

  • Prior experience with kdb+ or time-series databases.
  • Experience supporting AI/ML or advanced analytics platforms.
  • Knowledge of anomaly detection, signal generation, or other time-series analytics.
  • Background in global investment banking or electronic trading firms.

Obowiązki

  • Develop and optimise kdb+ processes and queries to support low-latency, high-throughput trading analytics.
  • Build analytical and aggregation layers for downstream systems, APIs, and AI/ML models.
  • Expose kdb+ data and analytics via APIs and services to front-end and AI engines.
  • Collaborate with AI/data engineering teams to provide structured datasets for machine learning training and inference.
  • Implement monitoring, alerting, and capacity planning for production kdb+ environments.
  • Ensure resilience, failover, and disaster recovery plans for market-facing trading systems.
  • Partner with traders, quants, and product teams to translate business needs into technical solutions.
  • Follow internal policies on operational risk, data governance, and security, including auditability and access controls.
  • Contribute to code reviews and maintain high standards in kdb+ development.

Inne informacje

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

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