Founded by industry leading experts, Amfileon’s mission is to find and capitalize on inefficiencies in liquid capital markets by building statistical models based on relevant data sets.
We employ state-of-the-art trading technologies & algorithms to implement our models in global markets.
Our team consists of highly numerate, detail-oriented scientists.
Tasks The Role We are looking to hire a Data Engineer to join our team.
You will work on designing, building, and operating the data systems that power both research and live trading.
The scope and ownership of the role will be tailored to your experience and strengths.
You will collaborate closely with experienced software engineers, DevOps professionals, and researchers.
Your work will focus on orchestrating and managing large-scale datasets, developing robust data pipelines, and ensuring reliable and efficient data flow in a production trading environment.
Your work will directly impact research velocity and trading performance.
Designing and maintaining scalable ETL pipelines (Python, workflow orchestration systems such as Dagster) Managing and optimizing data storage systems (e.
columnar and relational databases such as ClickHouse or PostgreSQL) Delivering reliable, high-quality datasets for research and production use Operating data infrastructure (containerized and distributed systems) Monitoring and improving system reliability (observability and alerting tools).