/Senior Data Platform Engineer – Trading & Data Infrastructure

Senior Data Platform Engineer – Trading & Data Infrastructure

Wroclaw, Polandplvia direct
// Job Type
Full Time
// Salary
PLN 40,000 - 60,000/year
// Salary Range
40,000–60,000 PLN / year
// Posted
1 month ago
// Seniority
senior
// Work Mode
onsite
// Experience
5+ years

About the Role

Unleash innovative data solutions — shape the future of trading intelligence! Wroclaw-based opportunity with on-site work model (5 days in office for the first-year). As a Senior Data Platform Engineer – Trading & Data Infrastructure, you will be working for a global quantitative & systematic investment manager leveraging cutting-edge technology and scientific methods across all liquid asset classes. You will help build the robust, scalable data engine powering real-time trading insights, enabling smarter, faster decision-making in high-pressure markets. Your main responsibilities: Design & implement systems to collect, process, and manage large-scale market and internal datasets Build and maintain high-performance, reliable data pipelines and services using Python, Airflow, and AWS/S3 Develop monitoring, alerting, and observability solutions with Grafana, Prometheus, and ELK stack Integrate data workflows into production environments collaborating with engineers and researchers Improve CI/CD pipelines and infrastructure-as-code practices to streamline deployment and operations Advance expertise in distributed computing, storage architectures, and performance optimization You're ideal for this role if you have: 5+ years of experience in data engineering, system automation, or related fields Strong proficiency in Python and Shell scripting Solid understanding of ETL processes, time-series data, SQL, and Pandas Hands-on Linux, networking, and performance troubleshooting skills Experience with containers, orchestration tools (Airflow, ECS/EKS is a plus), and observability/metrics stacks (Grafana, Prometheus, ELK) Familiarity with CI/CD, Infrastructure as Code, and AWS at scale (e.g., ECS/EKS, S3) Ownership mindset, problem-solving aptitude, and the eagerness to work closely with trading teams It is a strong plus if you have: Experience with ClickHouse, Pandas, SQL, market data, and trading systems Exposure to distributed computing and storage solutions Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role.

Tech Stack

PythonAirflowAWSS3GrafanaPrometheusELKSQLPandasLinuxShellDocker

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