Senior Data Engineering Manager

Tasks

• Adopt DevOps and DataOps practices
• Architect cloud data platforms
• Define data governance standards
• Define data modeling standards
• Develop reusable data engineering frameworks
• Drive testing monitoring and documentation
• Ensure data privacy and compliance with GDPR
• Implement CI/CD pipelines
• Implement infrastructure-as-code
• Lead batch and real time data pipelines
• Mentor and grow data engineering teams
• Provide technical authority for client projects
• Support pre-sales technical proposals
• Translate business requirements into technical solutions

Perks/Benefits

• Career growth opportunities
• Flexible working arrangements
• High autonomy
• Hybrid work model
• Inclusive culture
• International projects
• Professional development
• Remote work option

Skills/Tech-stack

Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | CI/CD | Data Factory | Data Governance | Data Lakehouse | Data Modeling | Data Quality | Data Security | Data Warehousing | DataOps | Databricks | DevOps | GDPR | Infrastructure as Code | Python | SQL | Terraform | “as-code”