BI Data Engineer

SUMMARY:
As a Senior Data Engineer in Business Intelligence, you’ll be the architect behind scalable, secure data systems that power real-time insights across the logistics value chain. From building high-performance ELT pipelines and integrating complex platforms to delivering clean, trusted datasets, you’ll enable automation, cost optimisation, and smarter decision-making. This role is all about turning raw data into a strategic asset—driving innovation, efficiency, and collaboration with BI and Data Science teams.

POSITION INFO:
Key Responsibilities:

• Design, build and maintain ELT pipelines ensuring reliability and performance
• Integrate data across WMS, TMS, ERP and IoT platforms
• Manage data lake and data warehouse environments
• Deliver clean, structured and validated datasets
• Collaborate with BI and Data Science teams
• Maintain documentation and data catalogues
• Support security, compliance and access controls
• Automate operational data processes
• Perform issue analysis and root cause investigations
• Optimise advanced SQL development and reusable pipelines

• Bachelor’s or Master’s degree in Computer Science or related field
• 3–5 years experience in data engineering (logistics/supply chain advantageous)
• Relevant cloud and data engineering certifications (Azure, AWS, GCP)
• Strong experience in BI or analytics tooling (SQL, Power BI, Tableau)
• ELT/ETL pipeline development (ADF, Airflow, SSIS)
• Advanced SQL development and optimisation
• Python or similar scripting language
• Cloud-based data platforms
• Data modelling, warehousing and schema design

• Software Developers
• Mobile Developers
• Business and Systems Analysts
• BI and SQL Experts