Senior Data & AI Platform Engineer – Azure SRE & FinOps

AdvanceWorks; Lisboa; Hybrid; EUR 70,000 - 95,000; Full time

Job summary

AdvanceWorks in Lisbon is seeking a Senior Data & AI Platform Engineer to support and evolve a cloud-based data platform. You will ensure environments, access, and integrations are healthy, automate CI/CD, and drive cost-optimisation alongside governance and observability efforts.

You will partner with Architecture, Data & AI Governance, Analytics and IT teams, contributing to reliability, security and scalable platform growth in a hybrid client setup.

Qualifications

• Proven senior experience as a Data & AI Platform Engineer in complex enterprise environments.
• Background as a Platform Engineer or SRE with data stacks, or DevOps moved to data platforms.
• Hands-on Azure expertise including ADLS Gen2 and Delta Lake.
• Experience with Azure Databricks and medallion architectures from a platform perspective.
• Familiarity with dbt and Apache Airflow/Astronomer as platform components.
• Experience building CI/CD pipelines and automation with Azure DevOps.
• Experience with Microsoft Fabric and Power BI.
• Knowledge of data governance tools such as Purview and Unity Catalog.
• Observability tools like Azure Monitor and Dynatrace.
• AI and MLOps platforms such as Azure ML, Microsoft Foundry and Databricks ML.
• Strong cloud, DevOps, DataOps, security and operations knowledge.
• Hands-on responsibility for cost management and FinOps practices.
• Ability to create standards, automation and technical documentation.
• Structured troubleshooting and root cause analysis skills.
• Clear communication with technical teams and stakeholders.
• Autonomy, accountability and a service-oriented mindset.
• Fluency in Portuguese and English, including technical documentation.
• Certifications (Azure, Databricks, Fabric/Power BI, DevOps, FinOps, ITIL/ITSM or security) are a plus.

Responsibilities

• Assess readiness of environments, workspaces, catalogues, access and integrations across the Data & AI platform.
• Define checklists and gates for onboarding, release and operational transition.
• Develop and maintain platform-specific CI/CD templates and automation using Azure DevOps.
• Define runbooks for deployment, rollback, hypercare and continuity.
• Implement and evolve monitoring with Azure Monitor and Dynatrace.
• Develop dashboards, alerts and reliability metrics for the platform.
• Follow up on incidents, identify root causes and drive preventive actions.
• Define tagging, naming and cost allocation standards.
• Build and maintain dashboards for cost monitoring and anomaly detection.
• Maintain and prioritise a backlog of cost optimisation opportunities.
• Provide technical support and enablement across the Data & AI ecosystem (Azure Databricks, dbt, Airflow/Astronomer, Fabric, Power BI).
• Support platform governance with Purview and Unity Catalog.
• Support AI/MLOps workloads on Azure ML, Foundry and Databricks ML.
• Produce technical documentation, runbooks and guides for platform users.
• Run knowledge transfer sessions for technical teams.
• Manage a continuous improvement backlog with KPI reporting.
• Collaborate with Architecture, Data & AI Governance, Analytics, Applied Intelligence, IT and Security teams.

Skills

Data Platform Engineer

Azure

Azure Databricks

CI/CD pipelines

Azure DevOps

Power BI

Observability

FinOps

Cost management

SRE mindset

Portuguese

English

Cost Allocation

Tools

Azure Databricks

dbt

Apache Airflow

Astronomer

Azure DevOps

Power BI

Delta Lake

ADLS Gen2

Purview

Unity Catalog

Azure Monitor

Dynatrace

Azure Machine Learning

Databricks ML

Job description

AdvanceWorks in Lisbon is seeking a Senior Data & AI Platform Engineer to support and evolve a cloud-based data platform. You will ensure environments, access, and integrations are healthy, automate CI/CD, and drive cost-optimisation alongside governance and observability efforts.

You will partner with Architecture, Data & AI Governance, Analytics and IT teams, contributing to reliability, security and scalable platform growth in a hybrid client setup.