?? 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 ou 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