Bachelor's or Master's degree in Computer Science, Engineering, or related field
7-10+ years of data engineering experience, with 2-3 years in a leadership role
Proven track record delivering large-scale data solutions (logistics/supply chain experience preferred)
Strong expertise in Azure data tools (e.g., Data Factory, Databricks, Synapse) or equivalent
Proficiency in Python and SQL; solid understanding of ETL/ELT, data modeling, and pipeline design (batch & near real-time)
Experience with performance optimisation, CI/CD, and DevOps practices
Hands-on experience with data quality frameworks, governance, monitoring, and metadata management
Strong understanding of data security, compliance, and secure pipeline design
Demonstrated leadership in mentoring teams and managing cross-functional stakeholders
Excellent communication skills, able to translate technical concepts for business audiences
Experience working in Agile environments, with strong planning and estimation skills
Ability to manage multiple priorities and deliver within timelines
Exposure to cloud platforms (Azure preferred), data observability tools, and certifications (e.g., DP-203) is an advantage
What moves you?
At Toll, you can help play a vital role in delivering what matters. From food, fuel, medicine and rescue services, we keep businesses and communities thriving. Every day brings change. We see that as an opportunity. To be curious. To ask the right questions. And b
Additional Information
About Toll Group
At Toll, we do more than just logistics - we move the businesses that move the world. Our 16,000 team members can help solve any logistics, transport, or supply chain challenge - big or small. We have been supporting our customers for more than 130 years. Today, we support more than 20,000 customers worldwide with 500 sites in 27 markets, and a forwarding network spanning 150 countries. We are proudly part of Japan Post - www.tollgroup.com
The Data Engineering Lead is responsible for leading the design, development, and operation of scalable, reliable, and secure data platforms and pipelines for Toll, primarily within Global Logistics & Global Forwarding. The role provides technical leadership to a team of data engineers and partners with stakeholders across IT and the business to deliver trusted, governed data products that enable analytics, reporting, and data-driven decision-making. It emphasises modern engineering practices (automation, CI/CD, infrastructure-as-code), robust data quality and governance, and continuous optimisation of performance and cost.
Leadership & Delivery
Lead, mentor, and develop a high-performing team of data engineers across multiple initiatives, providing technical direction and coaching.
Define and maintain data engineering standards and ways of working (coding standards, documentation, testing, operational readiness
Work closely with business analysts, project managers, and developers to deliver initiatives on time and within scope; provide estimates and support planning
Data Engineering & Platform Execution
Oversee the design and implementation of Global Logistics & Global Forwarding data ingestion, transformation, and orchestration pipelines for batch (and where required, near real-time) use cases.
Oversee development using modern frameworks/tools (e.g., Azure Data Factory, Databricks, Synapse) or equivalent.
Continuously optimise performance of data systems (query performance, latency reduction, efficiency improvements).
Data Quality, Governance & Observability
Implement data quality checks and monitoring to ensure integrity, consistency, and accuracy of data being processed.
Incorporate validation logic, reconciliation processes, and exception handling into development practices.
Drive adoption of metadata management and governed data access practices (e.g., cataloging/lineage/access controls as applicable).
Stakeholder Engagement
Engage with business units, product owners, and domain leads to understand pain points and co-design data-driven solutions.
Communicate technical solutions clearly and confidently to both technical and non-technical stakeholders.
Partner with IT security, infrastructure, and DevOps teams to ensure resilience, performance, and compliance.
Innovation & Continuous Improvement
Evaluate emerging tools and platforms, recommending opportunities for optimisation and innovation.
Stay ahead of data trends in logistics, supply chain, and transportation to drive continuous improvement.
Project Collaboration
Work closely with business analysts, project managers, and other developers to deliver projects on time and within scope.
Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
Provide accurate estimates for development tasks and contribute to project planning.
Security & Compliance
Implement security best practices in design and development.
Ensure compliance with data protection regulations and internal IT policies
Tollgroup · Bayan Lepas