Senior Data Engineer – Azure Databricks

Job Summary

This role involves designing, building, and maintaining data pipelines and solutions on Azure, focusing on Azure Databricks and related technologies to support data engineering needs.

Responsibilities

  • Create and manage data pipelines using Azure Data Factory.
  • Develop production-level solutions with Azure Databricks, Delta Lake, and Unity Catalog.
  • Implement Medallion architecture layers (Bronze, Silver, Gold) using PySpark, Python, and SQL.
  • Apply incremental loading techniques, Change Data Capture (CDC), and Slowly Changing Dimension Type 2 (SCD Type 2).
  • Build data warehouse solutions utilizing Synapse and Fabric.
  • Ensure data quality, governance, lineage, and security measures are in place.
  • Handle Azure DevOps CI/CD processes, Terraform/Bicep, Key Vault, and Role-Based Access Control (RBAC).

Requirements

  • Over 7 years of experience in Data Engineering with at least 4 years on Azure platform.
  • Proficient in Azure Databricks, PySpark, Python, SQL, and Azure Data Factory.
  • Hands-on experience with Delta Lake and Unity Catalog in production environments.
  • Knowledge of Medallion architecture and dimensional modeling.
  • Strong skills in Azure DevOps and cloud security.
  • Bachelor’s degree in a relevant field.
  • Good command of English communication skills.

We refresh listings regularly, but some roles close early on the source platform.

Country: Jordan
City: Abu Dhabi
Job Category: Data Engineering
Job Type: Full Time
Company Name: REACH Group
Seniority level: Mid-Senior level

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