Top Tech Jobs & Startup Jobs in Melbourne

Lead a multidisciplinary engineering team building next-generation conversational and semantic search capabilities. Drive technical direction, delivery, operational excellence, LLM integration, evaluation-driven development, and cross-functional collaboration to scale AI-powered search systems.

Implement and manage digital tagging and analytics across web and app platforms. Define and translate data layer schemas, implement tagging via Tealium or similar TMS and custom JavaScript, debug data quality, collaborate with product/tech/analytics teams, and ensure privacy-compliant, AI/ML-ready event capture and automation opportunities.

Design, build, and maintain data pipelines and core customer datasets to consolidate legacy systems into a unified customer profile. Collaborate with data engineers, analysts, and cross-functional squads to ensure data accuracy, remediation, and enable personalization and ML capabilities. Work in a small, dynamic team operating within a hybrid Melbourne-based environment.

Lead engineering for Data & AI within Financial Services, shaping strategy, building scalable data platforms, ensuring operational excellence, governance and responsible AI adoption. Partner with Product and Architecture, hire and grow leaders, coordinate multi-team delivery and support cross-functional programs.

Lead and deliver scalable Salesforce and AWS integrations, drive technical strategy, maintain engineering quality (CI/CD, testing, security), mentor engineers, and support cross-team collaboration to meet product roadmap objectives.

Investigate and respond to fraud and privacy incidents, manage governance processes and incoming enquiries, escalate risks to Risk/Legal/Security, and collaborate with stakeholders to protect customers and improve controls while delivering excellent customer interactions.

Design, build and maintain data pipelines, models and APIs across ingestion, transformation and consumption. Lead technical design and architecture, resolve data quality and performance issues, support production with monitoring and automation, and mentor engineers. Work with Airflow/Breeze, BigQuery, Kafka, TypeScript/Node or Python, and cloud/DevOps tooling to deliver reliable, scalable property data platforms and APIs.

Operate and optimise Workday and connected people platforms: configure modules, business processes, security, reporting and data loads; manage incidents, releases, testing and integrations; partner with stakeholders to deliver system improvements, automation and AI-enabled features that improve data quality and employee experience.

Lead architecture and delivery of scalable data solutions across squads. Design and optimise ETL/ELT workflows, mentor engineers, collaborate with data scientists and stakeholders, drive data modelling, orchestration, governance and strategic roadmap for the data platform.

Lead and support Customer Support leaders to deliver operational excellence across onboarding, fulfillment, support and payments. Drive metrics-driven performance, forecasting, capacity planning, process improvement, stakeholder collaboration and change initiatives to improve customer experience and scalable growth.