Data Platform Engineer
Summary
Connect Vision International is hiring a Data Platform Engineer (fully remote, Portugal/Spain) to build, automate, secure and scale a shared enterprise Azure data analytics platform. The work centers on Databricks administration and Unity Catalog, Infrastructure as Code, CI/CD, governance, and development with 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.