Cloud Data Engineer – Quanttrading

Overview In this role, you will design and operate cloud data infrastructure to support quantitative engineering and research. You will work with cross-functional teams to standardize data management and enable scalable analytics in a hybrid cloud.

You will build and maintain an infrastructure-for-code repository and promote secure, efficient data pipelines. This opportunity sits at a well-funded fintech startup-like firm in London, offering high-caliber colleagues and impactful, technology-driven projects.

Pay / Benefits benefits bonus Responsibilities Oversee multiple AWS environments and foster cross-team collaboration Integrate services and access paths within a data-intensive hybrid cloud Develop, enhance, and automate CI/CD pipelines Gather requirements to consolidate data management under a unified structure Propose hybrid cloud data engineering solutions and provide examples Stay current with cloud technology, services, and networking advancements Evaluate vendor solutions and deliver internal training to clients Key requirements Bachelor's degree in a STEM field 5+ years of AWS experience, with broad exposure to other cloud vendors Deep knowledge of AWS data management and pipelining tools (VPC, EMR, S3, RDS, Kinesis, Glue, Redshift, Data Pipeline) Proficiency with infrastructure-as-code tools (Terraform, CloudFormation) Strong Kubernetes knowledge Proficiency in Python or Go Experience building highly available, fault-tolerant big data environments (Hadoop, Spark, PostgreSQL) and using EMR, Athena, RDS Security-first mindset with IAM and KMS usage Working knowledge of cloud data analytics tools like Databricks and Snowflake strong collaboration and communication ability to translate business and technical requirements training and knowledge sharing Terraform CloudFormation Kubernetes

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