Jobs in Melbourne, Australia

About the role

As we move into our next phase of growth, we’re looking for consultants who don’t just want to deliver great solutions - but help shape the future of data and AI capability across Australia. We’re looking for a Data Engineer, based in Melbourne, who can design and deliver modern, scalable data solutions across multi-cloud environments (AWS, GCP, Azure) and modern data stacks such as Databricks, Snowflake, dbt, and cloud-native services. You’ll work directly with clients to understand their data challenges, architect and build high-quality pipelines, and support analytics, governance, and AI enablement initiatives. This role blends hands-on engineering with consulting - helping clients realise value at pace while contributing to Intelligen’s growing engineering capability. This role is ideal for someone who loves solving complex engineering problems, thrives in modern data ecosystems, and wants to work in a high-performing team doing meaningful, future-shaping work.

What you'll bring

• Curiosity and a problem-solving mindset.
• You enjoy understanding how things work and making them better.
• A commitment to clean, scalable engineering practices and continuous learning
• A collaborative spirit.
• You enjoy working across teams to deliver real outcomes
• The confidence to share ideas, challenge the norm, and help build something better.
• 4–6+ years’ experience in data engineering
• Strong hands-on experience with Databricks or Snowflake, and at least one major cloud platform (AWS, GCP, or Azure)
• Solid SQL capability and experience building complex data transformations
• Familiarity with modern data stacks - e.g., Snowflake, dbt, Delta Lake, cloud ETL/orchestration tools
• Experience working across the full data lifecycle: ingestion, transformation, modelling, consumption
• Consulting, stakeholder-facing experience, or cross-functional delivery exposure