Senior KDB+ Data Engineer – Financial Trading Analytics
27.3k - 32.8k PLN27 300 - 32 760 PLN/ mies.B2B
SeniorFull-time·B2B
#438177·Dodano dziś·0
Źródło: justjoin.itTech 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.
ITDS
400 aktywnych ofert