Senior Data Engineer

📋 Description

• Design, build, and maintain scalable data pipelines for ingestion and processing
• Develop modern ETL/ELT workflows delivering high-quality datasets
• Design scalable data warehouse/lakehouse using cloud technologies
• Collaborate with stakeholders to understand reporting and analytics needs
• Improve data quality, governance, and documentation across the platform
• Enable self-service analytics with analytics-ready datasets

🎯 Requirements

• Strong commercial data engineering experience
• Proven experience designing and building modern data pipelines and ETL/ELT
• Experience with data warehouses or modern lakehouse architectures
• Strong SQL skills and modeling large datasets
• Experience with cloud-based data platforms, ideally Databricks
• Strong data modeling, quality, governance, and architecture practices

🎁 Benefits

• 100%Remote Work
• WFH allowance: Monthly remote workspace support
• Career Growth: 360º feedback and progression program
• Training: Time for tech training and courses (Pluralsight, Educative.io)
• Mentoring Program: Mentor or be mentored
• Zartis Wellbeing Hub (Kara Connect)