Senior Cloud Data Engineer – Data & Analytics (AWS / Databricks) – 17057

Assignment Description

We are looking for a Principal Platform Engineer

What You Will Work On

• Build, evolve, and operate data platforms on AWS and Databricks
• Develop and maintain data pipelines for analytics and AI use cases
• Enable efficient data processing, cleaning, and structuring
• Support advanced analytics, dashboards, and ML models in production
• Improve data acquisition, testing, and platform automation
• Optimize platform performance, scalability, and cost-efficiency
• Enhance developer experience through tooling and automation
• Implement infrastructure as code (Terraform) for platform management
• Work in DevOps environments with CI/CD pipelines (e.g., GitHub Actions)
• Collaborate with stakeholders to deliver end-to-end data solutions
• Contribute to technology roadmap and platform strategy
• Support operational excellence and reduce repetitive tasks through scripting

What You Bring

• 12+ years of experience in platform engineering or data engineering
• Strong experience building and operating data platforms in cloud environments
• Deep expertise in Databricks (workspace, clusters, jobs, governance)
• Solid experience with AWS services and cloud architecture
• Strong experience with Infrastructure as Code (Terraform)
• Experience with CI/CD pipelines and DevOps practices
• Proficiency in SQL, PySpark, and data engineering tools
• Strong understanding of data pipelines and data processing workflows
• Experience working in cross-functional, data-driven environments
• Strong analytical, problem-solving, and communication skills

If this sounds interesting, please send your CV to