Job Description:

We are looking for a skilled Data Engineer / Developer to join our IS/IT squad under the supervision of a Team Leader. The ideal candidate will work on data-driven projects, contribute to building scalable solutions in the Corporate Data Lake, and support end-to-end delivery from development through production.

Job Responsibilities:

• Work as part of an IS/IT squad on enterprise-level data engineering projects.
   
• Design, build, and maintain solutions in the Corporate Data Lake using Azure technologies (Databricks with Python, PySpark, Azure Data Factory) and SQL.
   
• Develop and optimize ETL/ELT pipelines to ensure reliable and high-performance data processing.
   
• Implement data modeling and data warehousing best practices to support analytics and reporting needs.
   
• Ensure end-to-end delivery, including development, testing, deployment, and post-production support.
   
• Handle L3 production support, including troubleshooting and issue resolution.
   
• Support User Acceptance Testing (UAT) by assisting business users and validating data outputs.
   
• Deploy application components using CI/CD pipelines via Azure DevOps or GitLab.
   
• Collaborate closely with cross-functional teams, including business stakeholders, analysts, and engineers.
   
• Follow best practices for code quality, documentation, security, and performance optimization.
  
  Required Skills & Experience:
  
• 3+ years of experience in Data Engineering or related roles.
   
• Strong experience in data warehousing and/or data lake development.
   
• Proficiency in Python, PySpark, SQL, and Azure Data Factory.
   
• Hands-on experience with Azure Databricks.
   
• Strong data modeling and database design skills.
   
• Experience with CI/CD pipelines using Azure DevOps or GitLab.
   
• Good understanding of data quality, governance, and performance tuning.
   
• Strong communication skills and a team-first mindset.
   

Primary Skills:

• Azure
• Python

Other Skills:

• PowerBI