Senior Data Engineer

We are looking for a Senior Data Engineer to lead the migration of existing Apache Airflow workflows to Azure Data Factory (ADF) and strengthen the data layer behind our reporting solutions. The role is hands-on and focused on building reliable pipelines, solid data models, and ensuring smooth end-to-end data flow—from source systems all the way to reports. Experience with Power BI environments is highly valued. What you’ll do: 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 Requirements (must have): 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