Data & Engineering Manager

• Full time, fully-remote role based anywhere in Australia
• Salary up to $150K Super 
• Opportunity to own end to end delivery of client solutions 

Our client is a specialist growth consultancy that helps businesses scale through product-led growth, data, and automation by delivering strategy, execution, and embedded expertise to drive measurable, long-term results.   

They are seeking a Data & Engineering Manger who is a senior technical delivery role, responsible for designing, coordinating, and delivering scalable data and engineering solutions for clients. 

This is a hands-on role requiring technical capability with strong client-facing project management, ensuring solutions are well-architected, delivered on time and aligned to the business. 

Key Responsibilities:

Client Delivery & Technical Project Management

• Own end-to-end delivery of complex client engagements, from discovery and scoping through implementation, QA, launch, and ongoing optimisation.
• Act as the primary day-to-day technical contact for clients, translating business requirements into clear technical plans, deliverables, and timelines.
• Lead technical pre-sales support, including scoping work, shaping solution approaches, and contributing to proposals.business.
• Manage delivery risks, dependencies, priorities, and stakeholder communication to keep projects on track.

Data Architecture & Engineering

• Define and implement solution architectures across data ingestion, warehousing, transformation, activation, and reporting layers.
• Design and review tracking plans, schema structures, data models, and pipeline logic to ensure accuracy, scalability, and maintainability.
• Set and maintain engineering standards for testing, QA, documentation, observability, and deployment.
• Make sound build vs buy decisions based on technical fit, maintainability, speed, and commercial value.

Technical Oversight of Delivery Tasks

• Coordinate technical work across a distributed team, ensuring tasks are clearly scoped, assigned appropriately, and delivered to standard.
• Review technical outputs such as pipelines, queries, tracking implementations, and documentation to maintain quality and consistency.
• Provide technical direction on active workstreams, unblock delivery issues, and step into implementation where required.
• Maintain visibility over multiple concurrent engagements, balancing workload, deadlines, and quality of delivery.

AI & Process Improvement

• Embed AI and automation into engineering and delivery workflows where they improve speed, quality, or repeatability.
• Build reusable templates, implementation frameworks, and technical playbooks that improve consistency across projects.
• Contribute to internal improvements across tooling, QA processes, documentation, and technical operations.

To be successful in the role, you will have:

• 5-10 years of experience in data engineering, analytics engineering, solutions architecture, or related technical delivery roles.
• Strong experience delivering client-facing technical projects in a consultancy, agency, or multi-stakeholder environment.
• Hands-on experience with modern data platforms, including data warehouses, ETL/ELT pipelines, event tracking, and transformation layers.
• Strong SQL and proficiency in Python, js, or similar technical languages used in implementation workflows.
• Ability to translate business problems into clear technical solutions, delivery plans, and implementation priorities.
• Strong stakeholder management, project coordination, and technical communication.
• Practical experience using AI tools to improve delivery, analysis, or engineering workflows.

Role Details & Compensation:

• Full-time, fully remote role based anywhere in Australia 
• Occasional travel required
• Competitive base salary circa $150K AUD and Super
• Additional learning & tech allowance

This role will suit you if you are a hands-on technical leader who has built and scaled data systems, thrives in client-facing environments, and can blend engineering, strategy, and AI innovation to drive both delivery excellence and internal transformation.

How to Apply:

If you are a self-motivated and experienced senior technical leader with a passion for solving problems for clients with confidence, with a strong focus on AI integration, we encourage you to apply for this unique opportunity!