Data Engineer Lead

📋 Description

• Design, develop, and maintain automated data pipelines and analytics solutions.
• Automate manual reporting processes and repetitive data workflows.
• Optimize SQL queries, data models, and processing performance.
• Support production data preparation and model scoring for predictive analytics.
• Monitor data quality, troubleshoot pipeline issues, and improve reliability.
• Collaborate with business and technical stakeholders to deliver scalable data solutions.

🎯 Requirements

• Extensive experience as Data Engineer/Analytics BI delivering production reports.
• SQL Server development and database management; complex queries.
• Python for automation; Databricks in production pipelines.
• BI development with Tableau or similar tools.
• End-to-end automation of recurring reports into production.
• Experience supporting predictive model production and scoring.

🎁 Benefits

• AWS/Databricks/Snowflake certifications.
• AI learning paths and Udemy access.
• English lessons for professional communication.
• Travel to industry conferences and client meetings.
• Mentoring and career development programs.
• Flexible working options.