DataOps Engineer The group, operating internationally and active in the services sector, is looking for a DataOps Engineer. Key Responsibilities Collaborate with Data Engineers, DevOps and Architects teams to design, deploy and operate scalable and reliable data infrastructures supporting data ingestion, analytics and AI projects; Build, automate andmanage data platform environments (data lakes, data warehouses, streaming systems) leveraging AWS services and Infrastructure as Code practices; Implement and maintain CI/CD pipelines for data workflows, ensuring high availability, observability, and security across all environments; Develop monitoring,logging, and alerting systems to ensure performance, reliability, and cost optimization of data workloads; Contribute to the evolution of a data-centric culture by enabling fast, safe, and repeatable deployment of data solutions; Work within an Agile team with a collaborative mindset, contributing to continuous improvement of processes, automation, and platform reliability. Required Skills Strong experience with AWS services (e.G. S3, Glue, ECS, EKS, Lambda, CloudFormation, IAM, CloudWatch); Solid understandingof CI/CD pipelines and tools (e.G. GitHub Actions, Jenkins, CodePipeline, dbt Cloud); Hands-on experiencewith Infrastructure as Code (Terraform, AWS CDK, or CloudFormation); Familiarity with data orchestration tools (Airflow, Prefect, Dagster) and ETL/ELT frameworks; Proficient in Python or other scripting languages for automation and operational tasks; Experience with containerization and orchestration (Docker, Kubernetes); Good knowledge of monitoring and observability tools (Prometheus, Grafana, ELK, Datadog); Strong focuson reliability, automation, and scalability of data systems. Lavoro da remoto : 2 days per month on-site in Milan, with great flexibility.