Data Devops

Azienda Riservata Italia; Vicenza; Ibrido; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading services company is seeking a DataOps Engineer to design and manage scalable data infrastructures. This role involves collaborating with various teams to implement CI/CD pipelines and optimize performance. The ideal candidate has strong experience with AWS services and a focus on reliability and automation. The position offers smart working flexibility, requiring only two days per month on-site in Milan.

Competenze

• Strong experience with AWS services (e.g., S3, Glue, Lambda).
• Solid understanding of CI / CD pipelines and tools.
• Hands-on experience with Infrastructure as Code.

Mansioni

• Collaborate with teams to design and operate data infrastructures.
• Automate and manage data platform environments.
• Implement CI / CD pipelines for data workflows.

Conoscenze

AWS services

CI / CD pipelines

Infrastructure as Code

Data orchestration tools

Python

Containerization

Monitoring tools

Reliability focus

Descrizione del lavoro

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 and manage 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 understanding of CI / CD pipelines and tools (e.g. GitHub Actions, Jenkins, CodePipeline, dbt Cloud);
• Hands‑on experience with 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 focus on reliability, automation, and scalability of data systems.

Smart working: 2 days per month on-site in Milan, with great flexibility.