Data Engineer (Azure Data Factory)

Addepto is a leading AI consulting and data engineering company specializing in scalable, ROI-focused AI solutions for large enterprises and startups. It is part of KMS Technology, combining deep AI expertise with enterprise-scale delivery. Addepto also develops its own product, ContextClue, and contributes to open-source AI solutions. The company is recognized by Forbes as a top 10 AI consulting firm worldwide.

• Strong hands-on experience with Azure Data Factory, including pipeline and orchestration design, linked services, datasets, triggers, parameterization, operational monitoring, troubleshooting, performance tuning, and deployment-aware ADF development.
• Excellent knowledge of Python (including Azure Functions, REST APIs, automation).
• Strong SQL skills and 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 working with Databricks in data engineering environments.
• Experience with modern development practices and tools.
• Consulting mindset with proactive communication and stakeholder alignment.
• Ability to collaborate effectively with Product Owner and Architect.
• Independent and responsible in 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 for performance and reliability.
• Develop and maintain ETL/ELT processes and support the data warehouse layer (using 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 visibility of risks and impacts.
• Take ownership of assigned tasks and continuously improve the platform.