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About the Role
We are seeking a Lead Data Engineer to join our AI & Data practice. You'll own critical workstreams, guide technical decisions, and help teams deliver AI, data and agentic solutions that are secure, scalable and production-ready.
Responsibilities
- Design and deliver AI-enabled applications, agentic workflows and production-grade data solutions that are reliable, scalable, secure and maintainable.
- Apply AI-first delivery methods to lead the successful delivery of a workstream, making sound technical decisions and driving outcomes from design through deployment and operation.
- Review code and designs, champion engineering standards, and lift the quality of the solutions and teams around you.
- Collaborate with client stakeholders and delivery teams to shape requirements, evaluate options and translate them into practical technical solutions.
- Build in testing, CI/CD, observability, security and responsible AI practices from the start, using AI-first engineering methods to improve quality, consistency and delivery outcomes.
- Support the growth of less experienced engineers through mentoring, pairing, code review and sharing proven engineering patterns, practices and reusable assets.
Requirements
- 4-6 years’ experience in software, data or AI engineering.
- Strong software engineering background, with significant experience building data-intensive platforms.
- Strong Python engineering experience in production environments.
- Experience designing and building data models and data services for operational systems.
- Hands-on experience with AWS services such as DynamoDB, Aurora, Neptune and Glue.
- Experience with data ingestion, downstream consumption, semantic modelling, ontology design and lineage.
- Experience managing reference data and metadata-driven platform design.
- Experience curating or preparing high-quality datasets for testing, evaluation or operational controls.
- Experience working in complex distributed systems with strong quality and automation practices.
- Applicants must hold working rights in Australia to apply.
Skills
- AI-enabled products or workflows
- Agentic AI systems
- AI coding assistants such as Claude Code or GitHub Copilot
- Spec-driven development
- Event-driven architectures
- Cloud-native engineering practices
Location
- Sydney
Work Type
- Full-time
Experience Level
- Lead
Benefits
- Retail discounts
- Wellbeing leave
- Paid volunteering days
- Twelve flexible working options
- Market-leading parental leave and return to work support package
About the Company
- Our AI & Data team comprises more than 500 specialist practitioners across Australia, each of whom are constantly curious and excited about combining their business acumen and technological expertise to create AI and data-centric solutions that help solve complex problems and transform or reinvent our clients’ business.
- Our AI & Data team work with public and private sector clients, helping them design and implement world-leading solutions and capabilities.
- Our technology relationships with market-leading vendors such as AWS, Microsoft, Google, Databricks, Snowflake and Informatica enable our practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale.
- We are consistently recognised as leaders in Cloud, Data, Analytics and AI, including in the latest analyst reports.
- At Deloitte, we focus our energy on interesting and impactful work.
- We're always learning, innovating and setting the standard; making a positive difference to our clients and our society.
- We put coaching at the heart of what we do, helping our people grow their careers in any direction - whether it be up, moving into something new, or even moving acrossโลก.
- We value in-person connection with our clients and our colleagues.
- We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.
Equal Opportunity
- We embrace diversity, equity and inclusion.
- We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles.
- What binds us together is a shared commitment to value everyone's perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.