Devops engineer

🚀 Ready to elevate your career in Data & Cloud Engineering?

🔍 What do you need to become a SMART Senior DataOps Engineer?

To thrive in this role, you should bring:

- Proven experience in DevOps, DataOps, SRE or platform engineering roles;

- Hands-on expertise with Microsoft Azure, especially data & analytics services (Data Lake, SQL Database, Synapse, Data Factory, Key Vault);

- Strong experience administering Databricks (clusters, workspaces, job orchestration, performance tuning);

- Solid knowledge of Infrastructure-as-Code tools (Terraform, ARM templates, Bicep);

- Advanced scripting skills in Python, Bash or PowerShell for automation and tooling;

- Experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, GitLab CI);

- Good understanding of networking, security, IAM, and cloud architecture best practices;

- Experience with monitoring and observability solutions (Azure Monitor, Log Analytics, Prometheus, Grafana);

- Familiarity with data engineering fundamentals, ETL/ELT workflows, Spark/Delta Lake and cloud data architectures;

- A problem-solving mindset, autonomy, and the ability to work in fast-paced and Agile environments.

🌍 Where can you be SMART?

Remote – Portugal

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering

Industries: IT Services and IT Consulting