DATA AND AI PLATFORM ENGINEER (HYBRID)

iTRTech Group; Lisboa; Hybrid; EUR 37,000 - 40,000; Full time

Job summary

iTRTech Group is seeking a Senior Data and AI Platform Engineer to support administration, automation, reliability, and continuous improvement of enterprise Cloud, Data, and AI platforms in a hybrid Lisbon setting.

The role requires strong hands-on Azure expertise, Databricks, Astronomer/Airflow, and IaC (Terraform/Bicep) with CI/CD, FinOps, and solid documentation skills. Portuguese and English at B2 level are expected.

Qualifications

• Minimum 5 years of experience in Cloud Engineering, Data Platform Engineering, or related enterprise environments.

Responsibilities

• Assess platform readiness, including environments, workspaces, catalogs, access, integrations, and technical dependencies.
• Define onboarding, release, deployment, go-live, and operational transition procedures.
• Develop and maintain CI/CD templates, automation, version control processes, and reusable deployment patterns.
• Support deployment, rollback, hypercare, and operational continuity activities.
• Implement monitoring, dashboards, alerts, and reliability metrics, including availability, failures, MTTR, and observability coverage.
• Establish FinOps practices, including tagging, cost allocation, cost monitoring, anomaly detection, and optimization.
• Troubleshoot incidents, investigate root causes, manage remediation actions, and improve platform reliability.
• Maintain technical documentation, runbooks, knowledge bases, and operational standards.
• Support knowledge transfer, platform onboarding, and continuous improvement initiatives.

Skills

Azure Platform Eng

Azure Admin

Azure Databricks Admin

Astronomer / Airflow

Terraform

Bicep

CI/CD

FinOps

Kubernetes basics

Tech comms

Tools

Azure Databricks

Astronomer

Apache Airflow

Terraform

Bicep

Azure Monitor

Dynatrace

Kubernetes

Job description

DATA AND AI PLATFORM ENGINEER (HYBRID LISBON)

Portuguese company hires for hybrid position

Location: Lisbon, Portugal

Only candidates already based in Portugal will be considered

Work Model: Hybrid – 2 days per week in the office (flexible)

Language Requirements: Portuguese B2 and English B2

Seniority: Senior (5+ years)

Industry: Information Technology (IT) & Software Services

Rate Between €3300 - 3600 RV or unipessoal (gross value)

About The Opportunity

We are looking for an experienced Data and AI Platform Engineer to support the administration, automation, reliability, and continuous improvement of enterprise Cloud, Data, and AI platforms.

The professional will work with Microsoft Azure, Azure Databricks, Airflow/Astronomer, Infrastructure as Code, monitoring, CI/CD, and FinOps, ensuring operational stability, scalability, and efficiency.

Responsibilities

• Assess platform readiness, including environments, workspaces, catalogs, access, integrations, and technical dependencies.
• Define onboarding, release, deployment, go-live, and operational transition procedures.
• Develop and maintain CI/CD templates, automation, version control processes, and reusable deployment patterns.
• Support deployment, rollback, hypercare, and operational continuity activities.
• Implement monitoring, dashboards, alerts, and reliability metrics, including availability, failures, MTTR, and observability coverage.
• Establish FinOps practices, including tagging, cost allocation, cost monitoring, anomaly detection, and optimization.
• Troubleshoot incidents, investigate root causes, manage remediation actions, and improve platform reliability.
• Maintain technical documentation, runbooks, knowledge bases, and operational standards.
• Support knowledge transfer, platform onboarding, and continuous improvement initiatives.

Requirements

• Minimum 5 years of experience in Cloud Engineering, Data Platform Engineering, or related enterprise environments.
• Strong hands-on experience with Microsoft Azure Platform Engineering and Azure Administration.
• Proven experience with Azure Databricks Administration.
• Experience administering Astronomer or Apache Airflow platforms.
• Solid knowledge of Infrastructure as Code (IaC), using Terraform and/or Bicep.
• Experience with Azure Monitor, Cloud Operations, and Platform Reliability Engineering.
• Knowledge of CI/CD, Automation Engineering, and operational support processes.
• Experience implementing FinOps practices, cloud cost monitoring, and optimization.
• Strong troubleshooting, root-cause analysis, technical documentation, and stakeholder communication skills.
• Portuguese B2 and English B2, including the ability to produce technical documentation.

Nice to Have

• Experience with Platform SRE practices and Dynatrace.
• Knowledge of Microsoft Fabric Administration and Microsoft Purview Administration.
• Kubernetes fundamentals and DevSecOps practices.
• Certifications in Microsoft Azure, Databricks, Fabric/Power BI, DevOps, FinOps, ITIL/ITSM, or Security.

Certifications are considered additional evidence of expertise and do not replace practical experience.

Ideal Candidate Profile

A Senior Data and AI Platform Engineer with strong experience in Azure cloud environments, Databricks, Airflow/Astronomer, and Infrastructure as Code. The ideal candidate combines hands-on platform administration, automation, reliability engineering, and FinOps expertise with autonomy, ownership, and the ability to support complex enterprise environments.

5 Questions for Candidates

• How many years of professional experience do you have in Cloud Engineering, Data Platform Engineering, or Azure Platform Administration?
• What is your hands-on experience administering Azure Databricks and Astronomer or Apache Airflow?
• Have you implemented Infrastructure as Code using Terraform or Bicep and automated deployments through CI/CD pipelines?
• What is your experience with Azure Monitor, Platform Reliability, incident management, and FinOps cost optimization?
• Are you proficient in Portuguese and English at B2 level, available to work in Lisbon twice a week, and aligned with the proposed rate of €3,300–€3,600?

Keywords

Data and AI Platform Engineer, Azure Platform Engineering, Microsoft Azure, Azure Administration, Azure Databricks, Apache Airflow, Astronomer, Terraform, Bicep, Infrastructure as Code, IaC, Azure Monitor, Cloud Operations, Platform Reliability Engineering, SRE, CI/CD, Automation Engineering, FinOps, Cloud Cost Optimization, Observability, Incident Management, Root Cause Analysis, MTTR, Dynatrace, Microsoft Fabric, Microsoft Purview, Kubernetes, DevSecOps, ITIL, ITSM

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