Azure Data Engineer

Data Engineering & Pipeline Development

• Design and develop scalable data pipelines.
• Build batch and real-time data ingestion frameworks.
• Develop ETL/ELT solutions using Azure services.
• Integrate data from multiple sources including APIs, databases, files, and enterprise systems.
• Implement data quality and validation controls.

Azure Data Platform Development

• Develop and manage Azure-based data platforms.
• Build enterprise Data Lakes and Data Warehouses.
• Implement cloud-native data solutions.
• Enable analytics and AI-ready data architectures.

Data Modelling

• Design dimensional models.
• Develop star and snowflake schemas.
• Create scalable analytical data models.
• Support reporting and BI requirements.

Data Operations

• Monitor and troubleshoot data pipelines.
• Ensure pipeline reliability and performance.
• Optimise storage, processing, and query performance.
• Maintain operational documentation and support processes.

Collaboration

• Work closely with Data Architects.
• Support Data Scientists and AI/ML teams.
• Collaborate with BI teams for reporting requirements.
• Participate in Agile delivery teams.

Role

Qualifications