Data Engineer

About the role

Network International is seeking a Data Engineer to join its analytics team and support the development and operation of the enterprise Data Lake platform on Azure. Reporting to the Head of Data Management and Business Intelligence, you will help create a single source of truth across multiple systems for the company’s payments and financial services business.

Key responsibilities

• Design, implement and maintain data models, ETL pipelines, and reporting solutions on Azure.
• Develop scripts and procedures using SQL and other database languages to support business performance analysis.
• Integrate, transform, and consolidate structured and unstructured data from various sources.
• Create and manage Azure data structures, including Data Factory, Synapse, Databricks, and Power BI datasets.
• Provide day‑to‑day support to the analytics team, delivering clean and enriched data sets for insight generation.

Required profile

• Hands‑on experience with Azure cloud services, especially Data Factory, Synapse, Databricks and Power BI.
• Strong background in relational databases such as SQL, Oracle, Teradata or MySQL.
• Proven expertise in data engineering, data modeling and ETL processes.
• Familiarity with analytical languages (Python, R, SAS) is a plus.

Required skills

• Azure Data Factory
• Azure Synapse
• Azure Databricks
• Power BI
• SQL
• Oracle
• Teradata
• MySQL
• Python
• R
• SAS