Job Description

Key Responsibilities Design, develop and maintain ELT/ETL pipelines. Integrate data across logistics systems, including WMS, TMS, ERP and IoT platforms. Develop and optimise SQL queries, data models and data warehouse solutions. Ensure data quality, integrity and availability for reporting and analytics. Automate data processes and collaborate with BI teams to deliver reliable datasets. Investigate and resolve data issues through root cause analysis. Minimum Requirements Bachelor's Degree in Computer Science, Information Systems or a related field. 35 years' experience as a Data Engineer within the logistics or supply chain industry. Hands-on experience integrating data from WMS, TMS, ERP and IoT systems. Advanced SQL skills and experience with Python or a similar scripting language. Experience with ETL/ELT tools such as Azure Data Factory, SSIS or Apache Airflow. Experience working with cloud platforms (Azure, AWS or GCP); relevant certifications will be advantageous. Strong analytica...

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