Job Title

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 GCPDevelop 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 casesImplement medallion architectures (bronze, silver, gold) and modern data engineering patternsCollaborate closely with clients to translate business requirements into well-architected, actionable data solutionsSupport or implement dbt, CI/CD pipelines, Git-based workflows, and engineering best practicesEnsure 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 solutionsContribute to reusable assets, accelerators, and internal frameworks that strengthen Intelligen''s Databricks capabilityMentor junior engineers and positively influence client delivery and engineering standardsRequirements46+ years'' experience in data engineering or analytics engineeringStrong hands-on experience with Databricks (Spark, Delta Lake, Workflows), ideally in production environmentsExperience with at least one major cloud platform: AWS, Azure, or GCPStrong SQL skills and experience building complex data transformationsFamiliarity with modern data stacks e.g. Databricks, Snowflake, dbt, cloud data lakes, orchestration toolsExperience working across the full data lifecycle: ingestion transformation modelling consumptionConsulting, stakeholder-facing experience, or cross-functional delivery exposureKnowledge of DevOps concepts, version control, and/or CI/CD in data environmentsExcellent communication, problem-solving, and collaboration skillsSydney-based, with ability to work on-site with clients as requiredA mindset of curiosity, delivery excellence, and continuous learningBenefitsWe''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 hoursTraining & DevelopmentFree Food & SnacksMany socials and community groupsOpportunity to drive projects that are of interest to youYou''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.