Data Devops

Azienda Riservata Italia; Rimini; Ibrido; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading services provider in Italy is seeking a DataOps Engineer to enhance scalable data infrastructures. This role involves collaborating with teams to deploy cloud solutions, manage data platforms, and optimize data workflows. Applicants should have strong AWS experience and proficiency in CI/CD pipelines. Smart working is available, with two days on-site in Milan each month.

Competenze

• Strong experience with AWS services including S3, Glue, ECS, EKS.
• Solid understanding of CI/CD pipelines and tools.
• Hands-on experience with Infrastructure as Code tools like Terraform.
• Familiarity with data orchestration tools like Airflow.
• Proficient in Python for automation tasks.
• Experience with Docker and Kubernetes.
• Knowledge of monitoring tools like Prometheus and Grafana.

Mansioni

• Collaborate with Data Engineers and DevOps teams for data infrastructure.
• Build and manage data platform environments using AWS.
• Implement CI/CD pipelines for data workflows.
• Develop monitoring and alerting systems for data performance.
• Contribute to a data-centric culture and improve deployment processes.

Conoscenze

AWS services

CI/CD pipelines

Infrastructure as Code

Data orchestration tools

Python

Containerization and orchestration

Monitoring and observability tools

Reliability, automation, scalability

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.