Overview We are seeking a highly skilled Senior Data Engineer with hands-on experience in Databricks, Unity Catalog, and Azure Data Factory (ADF) to support a large-scale enterprise data modernization initiative.
The idóneo candidate will be responsible for designing, developing, and maintaining scalable data pipelines, enabling secure data governance, and supporting cloud-based analytics solutions in Azure.
This role will collaborate closely with architects, business stakeholders, and cross-functional engineering teams to build reliable, high-performance data platforms and accelerate data-driven decision-making.
Responsibilities Your Impact Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory and Databricks.
Build and maintain scalable data ingestion frameworks for structured and unstructured data sources.
Develop data transformation processes using PySpark, Spark SQL,



and Databricks notebooks.
Implement and manage Unity Catalog for enterprise data governance, security, and access controls.
Create and optimize Delta Lake architectures for analytics and reporting workloads.
Monitor pipeline performance and troubleshoot production issues.
Collaborate with data architects to implement enterprise data models and best practices.
Ensure data quality, integrity, security, and compliance standards are met.
Support CI/CD deployment processes and DevOps practices for data engineering solutions.
Work closely with business and analytics teams to understand requirements and deliver scalable solutions.
Requirements Your Skills

📌 Senior Data Engineer (Databricks + Pyspark + Adf + Unity Catalog) (Xico)
🏢 Mps Group
📍 Xico