Airtasker

Platform Engineer

• Build and maintain core data pipelines: Design and operate reliable, business-ready data models and transformation pipelines using dbt, SQL, and Python to support analytics and downstream use cases.
• Scale our data platform: Contribute to the design and operation of AWS-based data infrastructure (including Terraform), balancing scalability, reliability, and cost effectiveness.
• Strengthen orchestration and reliability: Help build and evolve our Dagster-based orchestration platform, improving monitoring, resilience, and operational maturity.
• Enable self-service analytics: Deliver high-quality foundational datasets and tooling that improve data accessibility and accelerate decision-making across the business.
• Improve data quality and trust: Apply software engineering best practices (CI/CD, testing, documentation) to ensure data products are robust, auditable, and trusted.
• Collaborate and automate: Work closely with analysts, data scientists, and engineers, and use Python to automate workflows and continuously improve the data platform, including supporting production ML use cases.

Data Platform Engineer

Product Designer

• Take a defined brief and run with it. Your PM will help define the problem to solve. Your job is to come back quickly with creative directions the team can react to, not just one polished answer.
• Ideate fast and broadly. Generate many possible approaches using sketches, flows, wireframes, AI-built prototypes and whatever else moves the work forward fastest.
• Bring a strong visual design eye. Apply solid visual craft and an understanding of UX patterns so what you ship looks and feels right, even on the first pass.
• Help shape acquisition for an AI-first world. Contribute to how Airtasker appears in AI searches, the Airtasker MCP experience, and the surfaces that connect Customers with Taskers.
• Design across three markets. Help deliver localised content and page experiences for AU, UK and US, learning the patterns that travel well across all three.
• Use AI to build and prototype. Actively grow your fluency with AI design and prototyping tools, and use them to explore more directions than you could by hand. No coding background needed, just the curiosity to use AI to get there.
• Ship and iterate. Where the problem calls for it, get something tangible in front of users early, whether a rough prototype or a thin slice of the live product, and use what you learn to inform the next iteration.
• Apply the Airtasker Design System. Use it consistently, learn its patterns deeply, and flag gaps or rough edges you notice as you go.
• Collaborate closely with your PM and engineers. Stay close to what's being built, communicate clearly, and document interactions and visual specs so what ships matches what was designed.
• Run lightweight research. Help the team validate ideas through quick usability tests, prototype walkthroughs and on-platform observation.
• Bring your work to the team. Present your work for feedback, ask good questions, and use design reviews to sharpen the solution and grow your craft.

Data Platform Engineer

Associate Product Designer