Etic, Azure And Databricks Data Engineer, Senior Associate
PwC PricewaterhouseCoopers GmbH
Azure data platform
Databricks
Python and sql
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks
Job Summary
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks.
You will work within cross-functional teams to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
This role requires a strong understanding of cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and deep practical knowledge of Databricks for batch and data engineering.
Matching Summary
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks.
Skills & Requirements
Must-have
Azure Data Platform
Databricks
Python and SQL
Data modeling
CI/CD pipelines
DevOps
Git
Nice-to-have
Accepting Feedback
Active Listening
Agile Scalability
Analytical Thinking
Creativity
Data Anonymization
Data Architecture
Key Requirements
3–6 years of experience in data engineering
Azure Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric
Databricks: PySpark, Spark SQL, Delta Lake, Unity Catalog
Familiarity with CI/CD pipelines, DevOps, and version control (e.g., Git, Azure DevOps)
Knowledge of data governance, lineage, and observability tools