Consultant - Data Engineer

At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup to a trusted partner for some of Australia’s most complex data transformations. We’ve helped organisations move from legacy to modern platforms, embedded governance into decision-making, and brought AI into the hands of the business - responsibly and at speed.

But we’re just getting started. 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 Sydney, who can design and deliver modern, scalable data solutions across multi-cloud environments (AWS, GCP, Azure) and modern data stacks, primarily using Databricks.

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.

• Design, build, and optimise scalable Databricks Lakehouse solutions across AWS, Azure, and GCP
• Develop robust data ingestion, transformation, and orchestration pipelines using Databricks (Spark, Delta Lake, Workflows)
• Build high-quality data models to support analytics, reporting, and AI/ML use cases
• Implement medallion architectures (bronze, silver, gold) and modern data engineering patterns
• Collaborate closely with clients to translate business requirements into well-architected, actionable data solutions
• Support or implement dbt, CI/CD pipelines, Git-based workflows, and engineering best practices
• Ensure strong data quality, governance, lineage, security, and performance optimisation within Databricks environments.
• Work alongside analytics, governance, and AI consultants to deliver cohesive, end-to-end solutions
• Contribute to reusable assets, accelerators, and internal frameworks that strengthen Intelligen’s Databricks capability
• Mentor junior engineers and positively influence client delivery and engineering standards
  

• 4–6+ years’ experience in data engineering or analytics engineering
• Strong hands-on experience with Databricks (Spark, Delta Lake, Workflows), ideally in production environments
• Experience with at least one major cloud platform: AWS, Azure, or GCP
• Strong SQL skills and experience building complex data transformations
• Familiarity with modern data stacks — e.g. Databricks, Snowflake, dbt, cloud data lakes, orchestration tools
• Experience working across the full data lifecycle: ingestion → transformation → modelling → consumption
• Consulting, stakeholder-facing experience, or cross-functional delivery exposure
• Knowledge of DevOps concepts, version control, and/or CI/CD in data environments
• Excellent communication, problem-solving, and collaboration skills
• Sydney-based, with ability to work on-site with clients as required
• A mindset of curiosity, delivery excellence, and continuous learning
  

We’re not just delivering AI and data projects, we’re humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo. We look for people who are driven to build a business, get curious, and offer up their opinions and ideas.

As well as:

• Work From Home - Flexible hours
• Training & Development
• Free Food & Snacks
• Many socials and community groups
• Opportunity to drive projects that are of interest to you!

You’ll work with a team that’s smart, kind, and ambitious. You’ll have real influence in your projects, your practice, and our business. And as we grow, so will you.