Data Platform Engineer with Python

6 days ago

Wrocław, Czech Republic ITDS Full time

3–7 years’ experience with strong Python and shell scripting Solid grasp of data engineering, ETL and time-series data (SQL/Pandas) Hands-on Linux, networking and performance troubleshooting skills Familiarity with containers & orchestration; exposure to Airflow and distributed compute Experience with observability/metrics stacks (Grafana, ELK, Prometheus) Exposure to CI/CD and IaC; bonus: AWS at scale (e.g., ECS/EKS) and ClickHouse Ownership mindset, problem-solving drive and eagerness to work close to trading 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.

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