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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