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

• Strong experience as a Data Engineer or similar role delivering production reporting.
• SQL Server expertise: complex queries, optimization, and workloads.
• Python for automation; Databricks for production data pipelines.
• BI development: reports/dashboards using Tableau or similar.
• End-to-end automation: recurring reports to automated solutions.
• Predictive model production: scoring, prep, and monitoring.

🎁 Benefits

• AWS, Databricks, and Snowflake certifications.
• Udemy Business access for courses.
• English lessons to support professional communication.
• Travel opportunities to industry conferences.
• Mentoring and development programs to grow your career.
• Flexible working options and company-provided equipment.