Data Devops

Azienda Riservata Italia; Pistoia; Ibrido; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A prominent international services company is looking for a DataOps Engineer to design and operate reliable data infrastructures. The ideal candidate has expertise with AWS services and CI/CD pipelines, with a strong focus on automation and reliability. This role offers smart working flexibility of 2 days on-site monthly in Milan.

Competenze

• Strong experience with AWS services like S3, Glue, ECS, EKS, Lambda.
• Hands-on experience with CI/CD tools such as GitHub Actions or Jenkins.
• Familiarity with data orchestration frameworks like Airflow or Prefect.

Mansioni

• Design and operate scalable data infrastructures.
• Build and manage data platform environments using AWS.
• Maintain CI/CD pipelines for data workflows.

Conoscenze

AWS services expertise

CI/CD pipelines

Infrastructure as Code

Python scripting

Containerization and orchestration

Data orchestration tools

Monitoring and observability

Strumenti

Terraform

Docker

Kubernetes

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.