AWS Cloud Data Engineer - Build Scalable Data Pipelines

Falconsmartit; Guildford; On-site; GBP 60,000 - 90,000; Full time

Job summary

Falconsmartit in Guildford, United Kingdom seeks an AWS Cloud Developer with Data Engineering focus to design, build, and maintain scalable data solutions on AWS. You will create pipelines, dashboards, and cost-management tools while collaborating with cross-functional teams.

Required: strong Python, AWS services (EKS, EC2, S3, Lambda, Glue), data modeling and ETL, REST APIs, and DevOps practices. Hybrid or on-site with cloud-first approach possible.

Qualifications

• Bachelor's degree in CS/IT or related field.
• Proven experience as Cloud Developer or Data Engineer with AWS focus.
• Strong Python proficiency.
• Experience with AWS services: EKS, EC2, S3, Lambda, Glue.
• Experience building REST APIs.
• Experience building and running Kubernetes background tasks with Batch-Jobs.
• Hands-on with GitHub Actions.

Responsibilities

• Design, develop, and implement data pipelines and ETL processes using AWS services.
• Collaborate with FinOps teams and market units to meet data requirements.
• Optimize data storage using AWS services such as S3, RDS, and NoSQL databases.
• Ensure data quality, integrity, and security across data projects.
• Monitor and troubleshoot data workflows for high availability and performance.
• Build dashboards using AWS QuickSight and Power BI.
• Create and oversee cloud billing dashboards to track costs and RI purchases.
• Promote automation and DevOps practices across cloud infra.

Skills

Python

REST APIs

Data modeling

ETL processes

Kubernetes

GitHub Actions

DevOps

Education

Bachelor's degree in Computer Science / IT / related field

Tools

CloudFormation

Terraform

Power BI

AWS QuickSight

Job description

Falconsmartit in Guildford, United Kingdom seeks an AWS Cloud Developer with Data Engineering focus to design, build, and maintain scalable data solutions on AWS. You will create pipelines, dashboards, and cost-management tools while collaborating with cross-functional teams.

Required: strong Python, AWS services (EKS, EC2, S3, Lambda, Glue), data modeling and ETL, REST APIs, and DevOps practices. Hybrid or on-site with cloud-first approach possible.