Data Engineer – Azure Data Pipelines

About the role

We are seeking a Data Engineer to design and develop scalable data pipelines that power reliable analytics and business insights for our Logistics team. The role focuses on Azure‑based solutions, integrating data from diverse sources while adhering to data‑governance standards.

Key responsibilities

• Build and maintain robust ETL/ELT pipelines.
• Develop end‑to‑end data solutions using Azure Data Factory, Azure Databricks and Apache Airflow.
• Integrate, cleanse and transform data from multiple internal and external sources.
• Create dimensional and relational data models to support analytics and reporting.
• Support Power BI dashboards and business metric tracking.
• Ensure data quality, performance optimisation and compliance with governance policies.

Required profile

• In‑office position.
• Minimum 3 years of professional experience as a Data Engineer.
• Strong hands‑on experience with Azure Data Factory, Azure Databricks, Apache Airflow and Power BI.
• Proficiency in advanced SQL and Python (including Pandas, NumPy, PySpark).
• Demonstrated experience in data modeling and ETL/ELT processes.

Required skills

• Azure Data Factory
• Azure Databricks
• Apache Airflow
• Power BI
• GitHub
• SQL
• Python
• Pandas
• NumPy
• PySpark