Location: Remote(EU)

Contract details: 12 months/freelance/SRL or PFA

Overview:

As a Data Platform Engineer, you will support the NNDAP L1 Migration and Data Lab standardization to establish a strong Lakehouse foundation.
Youll work on Databricks-based ingestion, quality, and sharing modules, ensuring tenant automation, lineage enforcement, and compliance with governance standards.

Key Responsibilities:

• Design and implement data ingestion and quality pipelines within Databricks Lakehouse.

• Build and automate tenant configuration workflows to support multi-tenant data sharing.

• Implement data lineage tracking and access control policies for compliance and security.

• Collaborate on platform standardization and migration activities.

• Use Azure Data Factory (ADF), Delta Live Tables, and infrastructure-as-code (IaC) to ensure reproducibility and scalability.

• Support observability, data validation, and operational reliability of pipelines.

Required Skills & Experience:

• 3-5 years of experience in Data Engineering or Platform Engineering.

• Hands-on expertise with Databricks, Delta Live Tables, and ADF.

• Experience with IaC tools (Terraform, Bicep, or ARM).

• Understanding of Lakehouse architectures, data governance, and lineage tools.

• Familiarity with data security and privacy regulations.

• Proficiency in Git, agile collaboration, and versioned deployments.

Nice to Have:

• Experience with Unity Catalog, Purview, or similar governance frameworks.

• Familiarity with Databricks REST APIs or workspace automation.