Azure Data Engineer – 6‑Month Project

About the role

A leading digital strategy and delivery firm is looking for an Azure Data Engineer to join its team on a six‑month project. The role focuses on designing, building and optimizing data pipelines in Azure to support enterprise‑level integration, transformation and analytics initiatives.

Key responsibilities

• Design, develop and maintain scalable ETL pipelines using Azure Data Factory.
• Collaborate with data architects, analysts and business stakeholders to translate requirements into data solutions.
• Apply data transformation and cleansing techniques to ensure high‑quality datasets.
• Optimize pipeline performance and manage cost‑efficient processing across Azure services.
• Monitor workflows, troubleshoot issues and continuously improve reliability.

Required profile

• Bachelor’s degree in Computer Science, Engineering or related field, or equivalent experience.
• Proven experience building data solutions with Azure Data Factory or similar cloud ETL tools.
• Strong proficiency in SQL and experience with relational databases such as Azure SQL or SQL Server.
• Solid understanding of data modeling, data warehousing and dimensional modeling.
• Experience integrating data from APIs, files and message‑based systems.
• Hands‑on experience with Azure Blob Storage, Data Lake and Azure SQL Database.
• Proficiency in scripting or programming languages such as Python, C# or Java.
• Strong problem‑solving abilities and effective communication with technical and non‑technical stakeholders.

Required skills

• Azure Data Factory
• SQL
• Azure SQL Database
• SQL Server
• Data modeling
• Data warehousing
• Dimensional modeling
• API integration
• File‑based integration
• Message‑based integration
• Azure Blob Storage
• Azure Data Lake
• Python
• C#
• Java