Data Engineer (SQL Server, SSIS, Python & Databricks)

About the role

We are seeking a Data Engineer to join the Enterprise Data Management team and build revenue‑generating enterprise data solutions. The role focuses on designing, developing, optimizing, and maintaining scalable data environments using SQL Server, SSIS, Python and Databricks.

Key responsibilities

• Partner with business and technical teams to understand functional and technical requirements.
• Design, develop, and maintain complex SQL stored procedures and functions.
• Optimize existing stored procedures, tables, indexes, and overall database performance.
• Troubleshoot, repair, and tune database environments alongside engineering teams.
• Review peer‑written SQL code to ensure coding standards and performance best practices.
• Develop and maintain SSIS packages for data transformation, cleansing, aggregation, staging, and transfers.
• Support production data loads and ongoing database refresh processes.
• Perform data analysis and profiling to guide design and development decisions.
• Define data flow requirements and maintain system documentation.
• Create and execute data validation and unit testing processes to ensure data quality.
• Implement enhancements and resolve production issues as needed.
• Contribute to scalable cloud‑based data solutions utilizing Databricks and modern data platforms.

Required profile

• Bachelor’s degree in a related field or equivalent professional experience.
• Minimum 3 years of experience working with relational databases in production environments.
• Minimum 3 years of experience with Microsoft SQL Server.
• Minimum 3 years of experience building and supporting SSIS packages.
• Minimum 2 years of experience working in Agile/Scrum environments.
• Experience in SQL performance tuning and optimization.
• Experience delivering high‑quality, scalable database solutions.
• Strong understanding of data warehousing concepts, data transformations, and analytics.
• Hands‑on experience with Databricks.
• Experience using Python for data engineering activities.

Required skills

• Microsoft SQL Server
• SQL Server Integration Services (SSIS)
• Python
• Databricks
• AWS
• SQL performance tuning
• Data warehousing
• Agile/Scrum methodology

What we offer

• Opportunity to work on enterprise‑scale data initiatives that directly influence business outcomes.
• Collaboration with cross‑functional teams to optimize critical data systems.
• Ability to build modern data solutions using cloud technologies and Databricks.