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Connect Vision International

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Data Platform Engineer

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Summary

Fully remote platform engineering role (Portugal/Spain) building, automating and securing a shared enterprise Azure data analytics platform used by teams across countries. Day to day: Databricks administration, infrastructure as code, CI/CD, governance, with Azure, Terraform, Python, PySpark and SQL.

Data Platform Engineer | Azure & Databricks | Fully Remote | Portugal / Spain

Connect Vision International is looking for an experienced Data Platform Engineer to join an international team working on a large-scale Azure Data Analytics Platform.


You will help develop, automate, secure and scale a shared enterprise data platform used by engineering teams across multiple countries.


This is a platform-focused engineering role , requiring hands-on experience with Azure infrastructure, Databricks administration, governance and software engineering practices.


Key Responsibilities



  • Build, improve and maintain reusable Azure data platform components.

  • Administer and automate Databricks environments and platform services.

  • Implement Infrastructure as Code and CI/CD pipelines.

  • Support platform security, access management and governance.

  • Develop modular and scalable solutions using Python, PySpark and SQL.

  • Improve platform monitoring, reliability and performance.

  • Collaborate with international engineering teams and stakeholders.



Required Skills



  • 5–7+ years of relevant software, data or platform engineering experience.

  • Hands-on Databricks platform administration and Unity Catalog knowledge.

  • Infrastructure as Code (Terraform, Bicep, Pulumi or similar).

  • Python, PySpark, SQL and strong software engineering fundamentals.

  • CI/CD, automated testing and release engineering.

  • Experience with Azure Data Factory, ADLS and Delta Lake.

  • Understanding of security, governance and platform operations.

  • Excellent communication skills and English.



Nice to Have



  • Multi-tenant or productised platform development.

  • Monitoring, observability and incident management.

  • Event-driven architectures, streaming or LakeFlow.

  • Experience working in regulated environments.


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