Senior Data Engineer
Link Group
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