Data Engineer (Azure Data Factory)

Addepto is a leading AI consulting and data engineering company focused on Artificial Intelligence and Big Data. The company builds scalable AI solutions for large enterprises and startups worldwide, including clients like Rolls Royce and Porsche. Addepto develops its own product, ContextClue, contributes open-source solutions, and is recognized by Forbes as a top AI consulting company globally. It is part of KMS Technology, combining AI specialization with enterprise-scale delivery.

• Strong hands-on experience with Azure Data Factory, including pipeline design, orchestration, triggers, 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 data warehouse workloads.
• Experience with CI/CD processes in Azure DevOps, including pipelines and multi-environment deployments.
• Solid understanding of Azure services and cloud data solutions (e.g., Azure SQL Database, Azure Key Vault).
• Experience with Power BI for dashboards and reporting.
• Excellent command of English (at least C1 level).

Nice to have:

• Knowledge of dbt.
• Experience implementing data warehouses on Azure.

• 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 data warehouse evolution (including Azure SQL Database or Synapse).
• Collaborate closely with Product Owner and Architect to translate business needs into technical solutions.
• Develop and maintain Python components such as Azure Functions and automation scripts.
• Contribute to CI/CD processes in Azure DevOps including pipelines, releases, and multi-environment deployments.
• Support occasional Power BI dashboarding and reporting.
• Ensure proactive communication and stakeholder alignment.
• Take ownership of tasks and contribute to continuous platform improvement.