Data Engineer at Ofload

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Glue, AWS S3, AWS Redshift, AWS SageMaker, AWS Aurora, Python, Terraform, CDK, ETL Pipelines, Data Modelling, Data Warehousing, Machine Learning Deployment, Infrastructure as Code, Cloud Infrastructure, Feature Engineering, Observability

Industry

technology;Information and Internet

Description

About Ofload and Our Mission FreightTech is one of the most exciting spaces to be in right now, with the opportunity to transform one of the largest industries. Freight in Australia is a $66 billion market, yet it is analogue and has many inefficiencies: 30% of the time, trucks drive empty. Networks lack transparency, data flows are fragmented, and smaller transport operators face barriers to competing with the big players. At Ofload, we’re changing how the freight industry operates and bringing it into the digital world. We leverage technology, data, and strategic partnerships to connect a growing roster of blue-chip customers with smaller, highly efficient transport operators. By reducing empty truck miles, improving visibility, and optimising supply chains, we’re driving smarter, greener, and more efficient operations that benefit businesses and the environment. This isn’t just logistics—it’s FreightTech: a tech-powered transformation of an industry that is the backbone of the economy and touches everyone’s lives. Why Join Ofload? Joining Ofload means being part of a high-growth scaleup. It means working alongside motivated, ambitious individuals who are passionate about disrupting the status quo and making a real impact. Our team thrives on challenges, values direct and honest feedback, and is committed to growing together. We’ve raised over $100M in funding from some of the world's top investors—backers of companies like Canva, Revolut, and HelloFresh. Along the way, we’ve been recognised for our innovation and culture: Ranked #1: Deloitte Climate and Sustainability Award 2024 for our pioneering Carbon Analytics Platform Ranked #2: AFR BOSS Best Places to Work 2024 in Transport and Construction Recognised in AFR BOSS Fast100 List 2025 with second highest revenue Recognised in Deloitte Fast50 3 consecutive years Recognised in AFR FastStarters 3 consecutive years At Ofload, we combine the agility of a tech startup with the impact of tackling a massive, real-world problem. If you’re ready to be part of an ambitious team reshaping the freight future, we want to hear from you. The Role We’re looking for a talented Data Engineer / Machine Learning Engineer to help shape the future of freight technology at Ofload. You’ll play a key role in building a best-in-class AWS data platform that powers our Data Science and BI capabilities, helping us unlock smarter decision-making across the business and industry. This is an opportunity to work on large-scale shipment and logistics datasets, building scalable data pipelines and production-ready machine learning solutions that directly impact how freight moves across Australia. You’ll collaborate closely with Engineering, Product, Data Science and BI teams to develop prediction and recommendation engines designed to reduce inefficiencies and drive sustainability outcomes across the transport industry. If you enjoy solving complex data problems, building robust cloud infrastructure, and working in a high-growth tech environment where your work has visible impact — we’d love to hear from you. Responsibilities Design, build and maintain scalable, reliable data pipelines using AWS Glue and modern cloud tooling Develop and optimise data models and AWS-based warehousing solutions for analytics and machine learning use cases Collaborate with Engineering, Data Science and BI teams to ensure high-quality, accessible and trusted data Deploy and manage machine learning models in production using AWS SageMaker Manage and optimise AWS infrastructure to ensure performance, scalability and cost efficiency Implement monitoring, observability and logging across data and ML pipelines Support feature engineering and model optimisation alongside Data Scientists What You’ll Bring Proven experience as a Data Engineer, Machine Learning Engineer or similar role Strong hands-on experience across AWS services including S3, Glue, Redshift, SageMaker, Aurora and related tooling Strong Python skills and experience with Infrastructure as Code tools such as Terraform or CDK Solid understanding of ETL pipelines, data modelling and modern data warehousing concepts Experience deploying, monitoring and maintaining machine learning models in production Strong problem-solving skills and the ability to work cross-functionally in a fast-paced environment At Ofload we prioritise impact, aptitude and passion, so we’d encourage you to apply if you do not meet all the above criteria. When you apply, please let us know of any reasonable adjustments you may need during the interview process. More than a job! We look after you through: Flexibility and Wellbeing: Balance your life with hybrid work arrangements, including remote work options and additional leave for volunteering, celebrations, and personal milestones. Empowerment and Growth: access to a $500 learning and development budget to put towards your professional growth, in-house workshops & Lunch & Learns; and Our annual Summer Camp offsite Office Benefits: Weekly catered breakfast, monthly team lunch and a number of delicious snacks Morning brew of your choice at our local cafe Quarterly celebrations and team events; Table tennis, board games and an office library

Responsibilities

Design and maintain scalable data pipelines and AWS-based warehousing solutions to power Data Science and BI capabilities. Deploy and manage production-ready machine learning models to optimize freight logistics and sustainability.