Consultant - Data Engineer (Snowflake)

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. As demand for modern data engineering accelerates, we’re expanding our consulting team with hands-on technical talent who can help clients uplift and modernise their data platforms at speed. We’re now embarking on a major engagement with a key enterprise client and are looking for experienced Snowflake, dbt data engineers who can re-engineer, optimise, and domain-align existing data models and pipelines. If you thrive in delivery-focused environments, enjoy solving complex data challenges, and want to shape how modern data engineering is done across APAC, we’d love to meet you.

About the RoleWe’re looking for multiple Data Engineers with strong experience in ETL and DWH technologies, inc. dbt and Snowflake, ideally with data modelling capabilities You’ll be part of an integrated Intelligen consulting team, working closely with our architects, senior consultants, and client-side technical stakeholders. This role is ideal for engineers who are hands-on, delivery-driven, and comfortable working in fast-moving, iterative project environments.

What You’ll Do• Re-engineer and refactor existing dbt models to align with domain-driven design principles. • Optimise and uplift existing Snowflake datasets, data structures, and transformation pipelines • Contribute to solution design, technical decisions, and modelling best practices • Work closely with client data teams to ensure maintainability, performance, and clarity of lineage. • Support CI/CD, testing, and documentation of all aspects of data engineering projects. • Collaborate with the broader Intelligen consulting practice as part of a multi-resource delivery team. • Contribute to ongoing consulting engagements beyond the initial project as part of our integrated consulting pool.