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