AWS Data Engineer – Remote

About the role

We are looking for an experienced AWS Data Engineer to design, build and maintain scalable data pipelines and warehousing solutions on the Amazon cloud. The role is fully remote and offers the chance to work with a global team of top‑tier technologists.

Key responsibilities

• Design and implement automated ETL pipelines using AWS Glue, Lambda and Kinesis.
• Develop and optimise enterprise data warehouses on Amazon Redshift and Amazon S3.
• Manage data infrastructure as code with Terraform or CloudFormation.
• Write high‑performance data transformation logic in Python and SQL.
• Collaborate with cross‑functional teams to ensure data quality, security and scalability.

Required profile

• Minimum 4 years of experience in data engineering, cloud engineering or a related field.
• Proven track record building data pipelines with AWS native services such as Glue, EMR and Lambda.
• Experience with large‑scale storage and warehousing solutions on S3 and Redshift.
• Hands‑on experience using Terraform or CloudFormation for infrastructure automation.
• Strong programming skills in Python and advanced SQL.
• Fluent English (advanced proficiency).

Required skills

• AWS Glue
• AWS Lambda
• AWS Kinesis
• AWS EMR
• Amazon Redshift
• Amazon S3
• Terraform
• CloudFormation
• Python
• SQL

What we offer

• 100 % remote work from any location.
• Competitive compensation paid in USD or local currency.
• Provided hardware and software for a home office.
• Flexible schedule and paid parental leave, vacations and holidays.
• Mentorship, career development and opportunities to collaborate with the world’s top 1 % tech talent.