Senior Data Engineer (Azure Data Factory)

Addepto is a leading AI consulting and data engineering company focused on Artificial Intelligence and Big Data. It works with large enterprises and startups, providing scalable AI solutions and contributing to the AI community. Part of KMS Technology, Addepto combines AI specialization with enterprise-scale delivery capabilities.

• Strong hands-on experience with Azure Data Factory and Databricks, including pipeline design, orchestration, linked services, datasets, triggers, parameterization, monitoring, troubleshooting, performance tuning, and deployment-aware development.
• Excellent knowledge of Python (including 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 dashboarding and reporting.
• Practical experience with Databricks in data engineering environments.
• Experience working with modern development practices and tools.
• Consulting mindset with proactive communication and strong stakeholder alignment skills.
• Ability to collaborate effectively with Product Owner and Architect.
• Independent and responsible approach to delivering high-quality solutions.
• Excellent command of English (at least C1 level).

• 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 data warehouse layer (Azure SQL Database or Synapse).
• Translate business requirements into technical solutions in 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 risk visibility.
• Take ownership of assigned tasks and contribute to continuous platform improvement.