5+ years of professional experience in data engineering or related fields, Strong proficiency in Python and Shell scripting, Solid hands-on experience with Linux, networking, and performance troubleshooting, Expertise in building and managing data pipelines with ETL, time-series data handling (SQL, Pandas), Practical knowledge of containers and orchestration tools, including Airflow, ECS, or EKS exposure, Familiarity with observability/metrics stacks such as Grafana, Prometheus, and ELK, Experience with AWS cloud services, especially AWS S3, ECS, EKS, or similar platforms, Ownership mindset, problem-solving drive, and eagerness to work closely with trading teams, Experience with ClickHouse or other high-performance databases, Additional skills in distributed computing and infrastructure management, Knowledge of market data and trading systems

access to +100 projects, access to Pluralsight, sharing the costs of sports activities, private medical care, remote work opportunities, flexible working time, fruits, integration events, corporate gym, saving & investment scheme, no dress code, coffee / tea, drinks, christmas gifts, birthday celebration, sharing the costs of a streaming platform subscription