Are you passionate about building scalable AWS data infrastructure? Join our team as an AWS Data Platform Engineer, where you'll develop high-performance, cost-efficient data solutions that power BI and AI-driven insights.

You'll collaborate with BI, Analytics, and Data Science teams to automate data processes, enhance security, and define best practices—creating a seamless, optimized AWS environment.

What You’ll Do

• Develop and manage AWS infrastructure using CDK, Terraform, CloudFormation.
• Automate data extractions, transformations, and aggregations with Python, PySpark, AWS services.
• Optimize S3, Redshift, Glue, and ensure cost-effective data solutions.
• Enhance security and IAM policies for role-based access.
• Improve monitoring and observability using CloudWatch, CloudTrail, and other logging tools.

What You Bring

We know that great candidates don’t always tick every box, and we encourage you to apply even if your experience isn’t a perfect match.

• 4-5 years of AWS BI/Data platform experience (AWS certification preferred).
• Strong expertise in AWS Infrastructure as Code (CDK, Terraform, CloudFormation).
• Hands-on experience with S3, Redshift, Glue, DMS, Airflow, Kafka, and Step Functions.
• Proficiency in Python, PySpark (TypeScript is a plus).
• Experience with CI/CD pipelines, CloudWatch, and automation frameworks.

Why This Role?

• Hybrid, flexible work model—balance office and remote work in a way that fits your life.
• 30 vacation days, plus an extra day off after Ascension Day.
• Competitive salary and performance-based bonus.
• Annual learning budget with 200+ digital training courses.
• A collaborative, diverse team where innovation and inclusion go hand in hand.

Belonging Starts Here

We believe in potential over perfection. Research shows that women often hesitate to apply unless they meet every requirement, while men apply with only 60%. If this role excites you, we want to hear from you, even if you don’t tick every single box.

Apply today - we're excited to meet the authentic you!