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