Forward Deployed Engineer, Data Engineering

The Opportunity

The Forward Deployed Engineer, Data Engineering & Architecture works directly with business and technology teams to identify operational challenges and turn them into scalable, data-driven solutions.

The role focuses on process improvement, automation, and data product development, taking opportunities from discovery through implementation and ongoing evolution. You will simplify and automate business processes, rapidly demonstrate value, and lead successful solutions into reusable data products that can scale across the organisation.

Who You Are

You are a problem solver who thrives where business processes, data, and technology intersect. You can quickly understand how a business process operates, identify inefficiencies, and translate those opportunities into practical solutions.

You bring strong analytical thinking and a product mindset. Rather than treating each automation as a one-time project, you look for opportunities to create reusable capabilities and data products that solve broader business problems and continue to deliver value over time.

In This Role, You Will

Process Discovery & Automation

• Partner directly with business teams to understand processes, pain points, manual activities, and opportunities for improvement.
• Map current-state processes and identify opportunities to simplify, standardise, automate, or eliminate unnecessary work.
• Translate business needs into clearly defined opportunities with measurable outcomes.
• Rapidly develop and implement automation solutions that reduce manual effort, improve efficiency, and increase process reliability.

Data Product Ownership & Development

• Lead successful automations through their evolution into scalable, reusable data products.
• Define the vision, requirements, roadmap, and priorities for data products within your area of ownership.
• Ensure products have clear ownership, defined consumers, measurable outcomes, documentation, and operational support.
• Maintain and prioritise a product backlog based on business value, adoption, feedback, and opportunities for expansion.
• Continuously improve products based on real-world usage and evolving business requirements.

Business & Technology Partnership

• Work directly with stakeholders to understand desired outcomes and prioritise opportunities based on value, effort, complexity, and scalability.
• Lead initiatives from initial discovery and proof of value through implementation, adoption, and product evolution.
• Communicate solution options, dependencies, risks, and trade-offs in clear business terms.
• Drive adoption and ensure delivered products are solving the intended business problem.

Continuous Improvement & Scale

• Identify patterns across individual automation opportunities that can be addressed through shared data products and reusable capabilities.
• Help establish repeatable approaches for discovering, evaluating, prioritising, and scaling automation opportunities.
• Explore emerging technologies, including AI and intelligent automation, where they can meaningfully improve processes or products.
• Measure the effectiveness and adoption of delivered solutions and identify opportunities for continued improvement.

What You'll Bring

• 8+ years of progressive experience across technology, process improvement, automation, digital transformation, data products, business systems, or related disciplines.
• Strong experience analysing workflows and identifying opportunities for process improvement and automation.
• Demonstrated experience owning or leading technology, automation, or data products through their lifecycle.
• Ability to translate successful prototypes or point solutions into scalable, reusable capabilities.
• Strong analytical and problem-solving skills with the ability to bring structure to ambiguous problems.
• Experience managing and prioritising requirements or backlogs based on business value and user needs.
• Experience coordinating delivery across multiple business and technology teams.
• Understanding of modern data, cloud, integration, automation, and software delivery concepts.
• Strong communication skills with the ability to work effectively across technical and non-technical audiences.
• A strong bias toward action, experimentation, measurable outcomes, and continuous improvement.

Considered an Asset

• Experience building or managing enterprise data products.
• Experience with workflow automation and low-code/no-code platforms.
• Experience applying AI, generative AI, or intelligent automation to business processes.
• Experience with modern clou