Data Engineer (Azure)

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company has developed its own product, ContextClue, and contributes open-source solutions to the AI community. Recognized by Forbes as one of the top 10 AI consulting companies worldwide, Addepto is part of KMS Technology, a US-based global technology group.

• 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 development in enterprise environments.
• 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 occasional dashboarding and reporting.
• 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 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.

• 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 Product Owner and Architect.
• Develop and maintain Python-based components such as Azure Functions, API integrations, and automation scripts.
• Contribute to CI/CD processes in Azure DevOps, including pipelines, releases, and environment promotion.
• Provide occasional Power BI reporting and dashboarding support.
• Ensure proactive communication, stakeholder alignment, and risk visibility.
• Take ownership of tasks and contribute to continuous platform improvements.