Senior Cloud Data Engineer (AWS, Python) | Data Pipelines

Premier Inn Hotels LLC (UAE); Plano (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Premier Inn Hotels LLC (UAE) is seeking a Senior Cloud Data Engineer to design, develop, and maintain scalable data platforms on AWS. You will work across data engineering, cloud infrastructure, automation, and data governance to deliver secure solutions at scale.

The ideal candidate combines strong AWS data engineering and Python skills with experience in Snowflake, Terraform, and CI/CD. You will design cloud data pipelines, implement governance, and collaborate with cross-functional teams.

Qualifications

• 6+ years of professional experience in cloud data engineering.
• Hands-on experience developing data solutions on AWS.
• Experience with Snowflake and Terraform.

Responsibilities

• Design and develop scalable cloud data pipelines and data lake solutions on AWS.
• Build and maintain data processing workflows using AWS Glue, S3, Lambda, and Step Functions.
• Implement data governance, security, and access controls with AWS Lake Formation.
• Develop automation and integrations using Python, Boto3, and AWS APIs.
• Build and manage cloud infrastructure using Terraform.
• Develop, test, and deploy data pipelines using CI/CD practices.
• Collaborate with engineers and stakeholders to deliver reliable data solutions.

Skills

AWS

Python development

Data governance

Cloud data engineering

CI/CD practices

Tools

AWS Glue

Amazon S3

AWS Lambda

AWS Step Functions

AWS Lake Formation

Terraform

Snowflake

Job description

Premier Inn Hotels LLC (UAE) is seeking a Senior Cloud Data Engineer to design, develop, and maintain scalable data platforms on AWS. You will work across data engineering, cloud infrastructure, automation, and data governance to deliver secure solutions at scale.

The ideal candidate combines strong AWS data engineering and Python skills with experience in Snowflake, Terraform, and CI/CD. You will design cloud data pipelines, implement governance, and collaborate with cross-functional teams.