Senior KDB+ Data Engineer – Financial Trading Analytics
27.3k - 32.8k PLN27 300 - 32 760 PLN/ mies.B2B
SeniorFull-time·B2B
#429755·Dodano 2 dni temu·2
Źródło: justjoin.itTech Stack / Keywords
KDB+/qTime-Series Database ManagementUNIX/LINUXFinancial Trading Domain KnowledgePythonBash ScriptingGitCI/CD pipelinesAPI DevelopmentAI/ML Data Engineering
Firma i stanowisko
This role is for a client of ITDS, a leading company in the financial trading industry focused on institutional trading and investment analytics. The job is based in Krakow with a hybrid work model allowing up to 3 remote days per week.
Wymagania
- Minimum 5 years experience with large volume datasets in production.
- Expertise in optimizing data queries for low-latency, high-volume environments.
- Strong knowledge of Unix/Linux, Bash, Python, and version control (Git).
- Experience in 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.
- Excellent problem-solving and debugging skills in production systems.
- Understanding of secure coding practices, data protection, and operational risk.
Strong plus:
- Prior experience with kdb+ or time-series databases.
- Experience supporting AI/ML or advanced analytics platforms.
- Knowledge of anomaly detection, signal generation, or time-series analytics.
- Background in global investment banking or electronic trading firms.
Obowiązki
- Develop and optimise kdb+ processes and queries for low-latency, high-throughput trading analytics.
- Build analytical and aggregation layers for downstream systems, APIs, and AI/ML models.
- Expose kdb+ data via APIs and services to front-end and AI engines.
- Collaborate with AI/data engineering teams for machine learning training and inference datasets.
- Implement monitoring, alerting, and capacity planning for production kdb+ environments.
- Ensure resilience, failover, and disaster recovery for market-facing trading systems.
- Partner with traders, quants, and product teams to translate business needs into technical solutions.
- Follow policies on operational risk, data governance, security, auditability, and access controls.
- Contribute to code reviews and establish best practices 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
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