Senior Data Engineer

• Strong hands-on experience in data engineering (pipelines, transformations, modelling)
• Very good SQL skills and practical data modelling experience
• Proven experience with Azure Data Factory (ADF) in production use cases
• Hands-on experience with Apache Airflow (DAGs, dependencies, troubleshooting) and readiness to drive migrations
• Scripting experience in Python (or similar) for automation and data processing
• Good understanding of Power BI datasets and reporting environments
• Ability to troubleshoot independently and own solutions end to end
• Strong communication skills and comfort working with both technical and business stakeholders

Nice to have:

• Experience with Azure data platform components (e.g., ADLS, Azure SQL, Synapse, Databricks)
• CI/CD for data pipelines and Infrastructure as Code
• Data quality frameworks, monitoring/alerting, and operational best practices
• Performance optimisation in ETL/ELT workflows
• Experience working in Agile teams

• Lead the migration of Airflow DAGs and data workflows to Azure Data Factory (ADF)
• Build and maintain data pipelines, transformations, and data models supporting reporting and analytics
• Troubleshoot and support end-to-end data flows: ingestion → processing → datasets → reports
• Collaborate closely with Power BI developers and business stakeholders to align data outputs with reporting needs
• Take ownership of production reliability: monitoring, incident resolution, and continuous improvement of pipelines