Description

Our client is a global quant trading platform that specialises in algorithmic trading strategies. They are embarking on numerous different and exciting projects, which include building a greenfield, event-driven Kafka platform, which will serve as a brand new exchange and trading platform from the ground up. The company operates in a multi-cloud environment, primarily utilising AWS, with the majority of their cloud infrastructure hosted on AWS. They leverage various technologies such as Prometheus, Grafana, Databricks, Sagemaker, Pandas, Spark, and Kafka to build robust and scalable systems. As a Senior Data Engineer, you will play a crucial role in the development of a brand new trading exchange platform that will be used globally. You will work closely with a talented team to build a new Greenfield platform, focusing on repeatability, latency, and scalability. The ideal candidate should have a strong background in developing Microservices using Python, with heavy experience in HFT. About You: Extensive experience in Python development, preferably in a Microservices architecture. Strong understanding of event-driven architectures and experience with Kafka. AWS experience building and managing pipelines Machine learning knowledge (ideally Sagemaker knowledge) Infrastructure-as-code tools like Terraform or CloudFormation. Experience with Kubernetes and containerisation technologies. Experience with monitoring tools like Prometheus and Grafana. This is a very well-backed product that's already been proven to be highly profitable. The position is open contract or permanent, with a large bonus on offer on top of the salary package. Follow the Nuage page for updates on current positions,