Manager, Data Engineering

2 weeks ago

Sydney, New South Wales, Australia UCentric Full time $200,000 - $250,000 per year

About the Company

This organisation is a recognised innovator, investing significantly in AI and data analytics, not just in theory, but in practice. The team has already delivered multiple end-to-end AI solutions and is now scaling to meet growing demand. With a culture centred around experimentation, agility, and rapid execution, they plan to double in size over the next 12 months.

They are also a coveted customer of a major global cloud provider and frequently featured as one of its standout success stories. This recognition highlights both the sophistication of their data ecosystem and the real business outcomes their AI investments continue to deliver.

About the Role

As the
Manager, Data Engineering & AI
, you'll lead a growing team of data and AI professionals and be responsible for shaping the strategy and execution of data engineering and AI initiatives. This is a hands-on leadership role where you'll guide the technical direction, foster a high-performance culture, and ensure that AI and analytics solutions deliver measurable business value.

Key Responsibilities

  • Lead, coach, and scale a high-performing team of data engineers and AI specialists.
  • Own the end-to-end delivery of data and AI initiatives, from architecture through to deployment.
  • Oversee the development and optimisation of data pipelines and AI infrastructure, supporting large-scale, real-time processing.
  • Work across diverse data types including structured, unstructured, text, speech, and video.
  • Collaborate with senior business stakeholders to translate challenges into data-driven, AI-powered solutions.
  • Drive automation and optimisation of core business processes using AI/ML.
  • Champion innovation by staying across emerging AI trends and leading rapid prototyping efforts.

What We're Looking For

We're seeking a strategic and technical leader with a deep understanding of data engineering, AI, and scalable cloud-based architectures. You'll be just as comfortable leading people as you are diving into code or architecture discussions.

Technical Expertise

  • Proficiency in Python and SQL for data engineering and model development.
  • Experience working with both structured and unstructured data sets.
  • Strong hands-on experience with GCP, DevOps pipelines, and scalable ML frameworks.
  • Deep understanding of AI/ML infrastructure, LLMs, AI agents, and co-pilot technologies.
  • Proven experience in rapid prototyping and proof-of-concept delivery.

Leadership & Soft Skills

  • Demonstrated experience in building and leading technical teams in high-growth environments.
  • Strong stakeholder engagement and communication skills.
  • Proven ability to manage project delivery, prioritise effectively, and drive execution at scale.
  • Entrepreneurial mindset with a passion for innovation and continuous improvement.

Why Join

  • Lead a fast-growing, high-impact AI team delivering real-world outcomes.
  • Work in a culture that values experimentation and rapid delivery.
  • Competitive salary with performance-based bonuses.
  • Visa sponsorship or transfer available for exceptional talent.
  • Career-defining opportunity to shape AI and data capability at scale.

Ready to lead one of the most dynamic AI and data teams in the market?
Apply now
to drive innovation that matters.

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