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# Cloud Data Engineer - Quanttrading

- **Company:** Quant Capital
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Business Analytics Applications, Big Data, Cloud Computing, Cloud Database, Continuous Integration, Fault Tolerance, Apache Hadoop, Identity and Access Management, Python (Programming Language), PostgreSQL, NoSQL, Apache Spark, Electronic Medical Records, HybridCloud, Amazon Virtual Private Cloud (VPC), Backend, Cloudformation, Amazon Relational Database Service, Infrastructure Automation Frameworks, Data Management, Terraform, Databricks
- **Published:** August 11, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2919066088-2

## About the Role

VPC, EMR, S3, RDS, Kinesis, Glue, Redshift, and Data Pipeline.Proficiency in infrastructure-as-code tools such as Terraform, CloudFormation, and related technologies.Strong knowledge of Kubernetes.Proficiency in at least one back-end programming language, such as Python or Go.Expertise in constructing highly available and fault-tolerant big data environments in the cloud, utilizing NoSQL and RDMS technologies like Hadoop, Spark, PostgreSQL, and cloud-based management tools such as EMR, Athena, and RDS.Ability to implement systems with a security-first mindset, adhering to firm-wide security policies and utilizing cloud-based security tools like IAM and KMS.Working knowledge of cloud-based data analytics solutions, such as Databricks and Snowflake.This is an environment akin to a well-funded FinTech startup where tech is number 1 with a big budget allocated towards technology. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart

## Description

essential.Responsibilities:Oversee multiple AWS environments, promoting collaboration among teams and providing support for their development initiatives.Integrate services and access routes within a data-intensive hybrid cloud environment.Develop, enhance, and fully automate CI/CD development cycles.Gather business and technical requirements to propose solutions that consolidate data management under a unified structure across the organization.Offer recommendations and create illustrative examples of hybrid cloud technology solutions for data engineering.Stay up-to-date with the latest advancements in cloud technology, services, and networking.Evaluate vendor solutions, generate recommendations, and deliver internal training to clients.Requirements:Bachelor's degree in a STEM field5+ years of experience working with Amazon Web Services (AWS), including exposure to other cloud vendorsIn-depth understanding of AWS's suite of tools and services for data management and pipelining, including


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