This is a [Wrocław-based hybrid opportunity – [3 from home per week
As an [Data Platform Engineer you will be working for our client – [a global quantitative & systematic investment manager using a scientific, tech-driven approach across all liquid asset classes. You will be responsible for [building the tools, pipelines and observability that power data analysis, monitoring and system automation for low-latency trading at scale.
This is a [Wrocław-based hybrid opportunity – [3 from home per week
As an [Data Platform Engineer you will be working for our client – [a global quantitative & systematic investment manager using a scientific, tech-driven approach across all liquid asset classes. You will be responsible for [building the tools, pipelines and observability that power data analysis, monitoring and system automation for low-latency trading at scale.
,[Design & implement systems to collect, process and manage large-scale market and internal datasets, , Build and maintain performant, reliable data pipelines/services (Python, Airflow, AWS/S3), , Develop monitoring, alerting and observability for data platforms (Grafana/Prometheus/ELK), , Integrate data delivery and compute workflows into production with engineers & researchers, , Improve CI/CD and infrastructure-as-code to streamline deployments and operations, , Evolve expertise in distributed computing, storage architectures and performance engineering Requirements: Python, ETL, AWS Additionally: Sport subscription, Training budget, Private healthcare, International projects.