Data Engineering Lead

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

Requirements

• 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 build meaningful connections. Because finding new ways to solve problems is what we do. With a bold vision to expand our global reach, our 16,000+ people bring a passion for progress. We collaborate in friendly, caring teams, supported by approachable leaders who give us the autonomy to quickly make decisions with impact. Learn and grow with industry-leading training, alongside talented experts. Feel empowered to take on diverse challenges and new responsibilities to move you, our customers, and our world further.

Are you excited about this role but are concerned you don’t meet all the requirements? If you have similar skills and are willing to learn then we encourage you to apply anyway. We know that some people hesitate to apply for jobs unless they meet every single qualification. At Toll, we value a diverse, inclusive and authentic workplace, so if you’re interested in this role but your past experience doesn’t align perfectly then please talk to us – you may be just the right candidate for this or other roles we have coming up.

At Toll everyone is welcome including those of all ages, ethnicities, genders and abilities.

To find out more about us visit www.careers.tollgroup.com

You must be entitled to work in Malaysia and be prepared to undertake pre-employment checks including a criminal history check and medical.