Azure Databricks Data EngineerVerified as a real position

Who we’re looking for

• Solid hands-on experience with Azure Databricks
• Strong knowledge of Apache Spark (PySpark / Scala, Spark SQL)
• Good understanding of Delta Lake, including ACID transactions, partitioning, schema management, and incremental/CDC processing
• Experience designing scalable data pipelines (e.g., bronze/silver/gold architecture)
• Working with both batch and streaming data processing
• Building modular and reusable transformation frameworks
• Experience with Unity Catalog (data access control, permissions, lineage, auditability)
• Understanding of secure data access models in multi-team environments
• Ability to optimize and troubleshoot Spark workloads (performance tuning, partitioning, scaling)
• Familiar with monitoring, logging, and alerting for data pipelines
• Integration experience with ADLS Gen2, Azure Data Factory/Synapse, Key Vault, and Azure AD (Entra ID)
• Experience working with Git and CI/CD pipelines
• Exposure to Databricks deployment automation (e.g., Azure DevOps, GitHub Actions, Terraform) is a plus

What you’ll do

• Designing scalable Spark-based pipelines using Databricks (batch + streaming)
• Implementing data transformations using Delta Lake to ensure reliable, performant datasets
• Managing governance and security using Unity Catalog (permissions, lineage, metadata)
• Operationalizing workloads through orchestration (Databricks Jobs, DLT, structured streaming)
• Ensuring pipelines are production-ready through monitoring, error handling, and performance tuning
• Supporting automation and CI/CD practices to enable controlled deployments and lifecycle management in Azure

About the position

We are looking for an experienced Azure Databricks Data Engineer to help build and scale our enterprise data platform. In this role, you will design and operationalize data pipelines that power analytics, reporting, and AI initiatives across the organization. Join our team You will join a growing Platform Team within a global data and AI organization, focused on building a modern, cloud-native data ecosystem on Microsoft Azure. Our team collaborates closely with data scientists, analysts, and platform engineers to deliver reliable, scalable, and governed data products. You’ll be part of an international environment where ownership, collaboration, and continuous improvement are at the core

Benefits

• Global career opportunities
• Learning & Development programs
• Benefits package, including variable compensation (bonus)
• Flexible work culture promoting balance and well-being
• Global Parental Leave Policy
• Community involvement