Responsibilities
- Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management.
- Configure and manage linked services and datasets within ADF.
- Monitor, troubleshoot, and optimize ADF pipelines to ensure performance and reliability.
- Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer (Azure SQL Database or Synapse).
- Translate business requirements into technical solutions in close collaboration with the Product Owner and Architect.
- Develop and maintain Python-based components (e.g., Azure Functions, API integrations, automation scripts).
- Contribute to CI/CD processes in Azure DevOps, including pipelines, releases, and environment promotion.
- Support occasional Power BI reporting and dashboarding needs.
- Ensure proactive communication, stakeholder alignment, and visibility of risks and impacts.
- Take ownership of assigned tasks and actively contribute to continuous platform improvement.
Requirements
- Strong hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments.
- Excellent knowledge of Python (Azure Functions, REST APIs, automation).
- Strong SQL skills and solid understanding of data modeling for ETL/ELT and warehouse workloads.
- Experience with CI/CD processes in Azure DevOps (pipelines, releases, multi-environment deployments).
- Solid understanding of Azure services and cloud-based data solutions (e.g., Azure SQL Database, Azure Key Vault).
- Experience with Power BI for occasional dashboarding and reporting.
- Experience working with modern development practices and tools.
- Consulting mindset with proactive communication and strong stakeholder alignment skills.
- Ability to effectively collaborate with Product Owner and Architect during planning and delivery.
- Independent and responsible approach to delivering high-quality solutions.
- Excellent command of English (at least C1 level).
Nice to Have
- Knowledge of dbt.
- Experience implementing data warehouses on Azure.
Work Arrangement
Hybrid — modern offices and coworking spaces
Additional Information
- Flexible work arrangements: remote or from modern offices and coworking spaces.
- 20 fully paid days off.
- Full work equipment provided, including laptop and other necessary devices.
- Dedicated buddy for onboarding.
- Preferred form of cooperation: B2B or contract of mandate.
