Engineering Manager

• Lead one or more cross-functional squads within the SAP domain, owning delivery outcomes, team health, and engineering quality across a more complex or ambiguous problem space.
• Partner with Product Management counterparts to maintain a healthy backlog, align on priorities, and sequence delivery in a way that is sustainable and high-impact.
• Own the performance and development of direct reports - setting clear expectations, running structured 1:1s, delivering timely feedback, and building individual growth plans aligned to career goals.
• Manage a broad stakeholder group, including escalating and resolving delivery risks, navigating competing demands across teams, and maintaining alignment across functions.
• Drive engineering excellence within squads: champion modern practices including TDD, CI/CD, trunk-based development, and sound software design patterns
• Contribute to cross-team technical decisions in collaboration with Principal/Staff Engineers and the Senior Engineering Manager, particularly on non-functional requirements, architecture, and tooling
• Identify and resolve bottlenecks across skills, processes and tooling, driving improvements at squad and domain level
• Develop working knowledge of the SAP platform sufficient to guide delivery decisions, assess technical complexity, participate in hiring, onboarding, and capability building for the SAP engineering function
• Monitor delivery metrics, ensure transparency of progress and risk, and drive continuous improvement in how squads operate

• Lead, coach and develop data engineers across multiple data squads, supporting wellbeing, capability uplift and strong performance outcomes
• Guide the design, delivery, testing and maintenance of trusted data products, pipelines, reporting solutions, dashboards and analytical datasets
• Drive uplift towards full-stack data engineering, reducing handoffs and improving how engineers work across requirements, build, testing, controls and operations
• Partner with the Crew Tech Lead, Financial Crime Compliance, Risk, Operations, Technology, Data Governance and enterprise business teams to align delivery with strategic priorities, technology KPIs and OKRs
• Strengthen data quality, lineage, reconciliation, monitoring, observability, automation and reporting controls
• Help modernise financial crime technology, data and reporting capabilities as part of the broader economic crime transformation agenda
• Champion DevSecOps, platform health, vulnerability reduction, operational resilience and secure, scalable engineering practices
• Support the team’s transition from legacy big data and warehouse technologies toward cloud, AWS data services, Snowflake and AI-enabled ways of working

Senior Engineering Manager – Chapter Lead, Data Engineering

• Own the day-to-day delivery of your engineering team: run planning, refinement, and sprint rhythms that keep work predictable and the team focused
• Lead and develop a team of engineers through regular one-on-ones, career conversations, and coaching — creating an environment where people do their best work
• Maintain and improve the technical health of the codebase, making pragmatic calls on legacy debt versus new investment based on real customer and business impact
• Triage customer-reported issues and production incidents with a clear eye on ROI — distinguishing problems that need fixing from noise that doesn't
• Contribute to technical direction, keeping yourself close enough to the work to be a credible and useful partner to your engineers as well as the product and design leadership triad
• Spot process friction and fix it — whether that's in how the team plans, how bugs are triaged, or how engineers collaborate — without waiting to be asked
• Build relationships beyond your immediate team, partnering with engineers, product managers, designers, and customer-facing functions across the business

• Set the technical vision for EQL's platform: where it needs to get to, how it gets there, and what the architecture looks like when it does.
• Make the consequential platform decisions (build vs buy, architectural trade-offs, the integration points between EQL, Shopify, and Fans) and make sure the team builds confidently within them.
• Be the technical counterweight in product and leadership conversations: clear-eyed about what's possible, what's hard, and what the right trade-off is.
• Own the intelligence strategy: how recommendation, personalisation, demand forecasting, and audience controls are architected as a compounding layer, not a series of one-off features.
• Think seriously about what best-practice AI engineering looks like for EQL: the data pipelines, feature stores, and inference infrastructure that make intelligence reliable in production, under real load.
• Own the vision for how fan data becomes a strategic asset: what we capture, how we model it, and how it feeds back into better outcomes for brands and better experiences for fans.
• Partner with product to find where intelligence creates the most leverage, then lead the architectural thinking on how EQL, Shopify, and Fans evolve from separate systems into one interconnected platform.
• Lead and develop a team of 12 engineers across two Engineering Managers: setting direction, raising the bar, and building a culture where great work is the norm.
• Own hiring and team shape, building toward the capabilities EQL needs.
• Work with the EMs on delivery and team health; they run the day-to-day, you set the context and standard.
• Build an engineering culture that's AI-native by default, where the team reaches for the best tools, moves fast, and ships things that matter.
• Accountable for the evaluation of and relationships with key technology vendors: AI tooling, ML infrastructure, data platforms, Shopify ecosystem partners.

Head of Engineering

• Advise clients on complex brownfield oil & gas and industrial engineering projects from concept to delivery
• Lead multidisciplinary teams across EPC project phases including FEED, detailed design, construction, and commissioning to solve technical challenges
• Deliver high-quality advice that informs decisions
• Manage stakeholder interfaces including clients, contractors, and consortium partners to deliver successful project outcomes
• Drive safety in design, technical assurance, and engineering governance across all project stages
• Deliver high-quality engineering solutions, including shutdowns, plant expansions, and operational integration activities
• Contribute to resilient and innovative engineering solutions
• Apply advanced analytics and optimisation to enhance performance

• Own and continuously improve the AIPE engineering team’s system of work, including development practices, technical standards, engineering hygiene, operational discipline, AI-native engineering behaviours and mechanisms for measuring value
• Set clear standards for observability, instrumentation, agentic development, engineering quality and operational readiness
• Drive system-level improvements that reduce toil, improve developer experience and allow AIPE engineers to focus on solving problems for internal customers
• Build and embed AI-native engineering practices within the AIPE engineering team
• Use data, engineering signals and qualitative feedback to identify bottlenecks, improve development flow and lift team effectiveness
• Support the delivery and evolution of AI-powered engineering tools and workflows
• Lead, coach and grow a high-performing team of engineers, with clear expectations, regular feedback, career development and a strong product engineering mindset
• Create an environment of high standards, psychological safety, learning, experimentation and strong engineering craft

Engineering Manager jobs in Australia

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Engineering Manager

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Engineering Manager

Head of Engineering

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