Data Devops

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

Descrizione del lavoro

A leading service provider is seeking a DataOps Engineer to design and manage data infrastructures. Responsibilities include building scalable data platforms on AWS, implementing CI/CD pipelines, and contributing to a data-centric culture. The ideal candidate has strong AWS experience and works well in an Agile team environment with a focus on automation and reliability. This role offers smart working options with on-site flexibility in Milan.

Competenze

• Strong experience with AWS services.
• Solid understanding of CI/CD pipelines.
• Hands-on experience with Infrastructure as Code.
• Familiarity with data orchestration tools.
• Proficient in Python or other scripting languages.
• Experience with containerization and orchestration.
• Good knowledge of monitoring and observability tools.
• Strong focus on reliability, automation, and scalability.

Mansioni

• Collaborate with teams to design, deploy and operate scalable data infrastructures.
• Build and manage data platform environments leveraging AWS.
• Implement and maintain CI/CD pipelines for data workflows.
• Develop monitoring, logging, and alerting systems.
• Contribute to a data-centric culture for deployment of data solutions.
• Work within an Agile team for process improvement.

Conoscenze

AWS services (e.g. S3, Glue, ECS, EKS, Lambda, CloudFormation, IAM, CloudWatch)

CI/CD pipelines and tools (e.g. GitHub Actions, Jenkins, CodePipeline, dbt Cloud)

Infrastructure as Code (Terraform, AWS CDK, CloudFormation)

Data orchestration tools (Airflow, Prefect, Dagster)

Python or other scripting languages

Containerization and orchestration (Docker, Kubernetes)

Monitoring and observability tools (Prometheus, Grafana, ELK, Datadog)

Focus on reliability, automation, and 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.