Senior Data Engineer

📋 Description

• Lead data integration, storage infra for analytics & AI
• Design end-to-end data pipelines (ETL/ELT) for enterprise data landscapes
• Collaborate with Platform Engineers to scale solutions in production
• Define direction autonomously to meet strategic goals
• Bridge engineering, business, and science to deliver value
• Build scalable, resilient data systems with governance

🎯 Requirements

• Bachelor's degree in Computer Science or Engineering; 8–12 years leading data projects
• Design, build, and maintain robust data pipelines (ETL/ELT) for enterprise data
• Cloud-native data ecosystems on AWS/Azure/GCP; IaC (Terraform/CloudFormation); CI/CD for data
• Advanced data modeling: conceptual, logical, physical
• AI/MLOps readiness: using AI tools to optimize data workflows and governance
• Architectural leadership: scalable components and enterprise-grade code
• SRE focus: define/monitor SLOs/SLIs; resilient data systems

🎁 Benefits

• Challenging work with real impact
• Direct access to cutting-edge AI platforms
• Diverse and inclusive culture
• Growth opportunities for personal and professional development
• Collaborative and innovative environment where ideas are valued
• Hybrid working model