Consultant - Data Engineer at Intelligen Group

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, Databricks, AWS, GCP, Azure, SQL, Data Transformation, Snowflake, dbt, Data Lifecycle, DevOps, CI/CD, Communication, Problem-Solving, Collaboration

Industry

IT Services and IT Consulting

Description

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. About the Opportunity... 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 Do Design, build, and optimise scalable, reliable data pipelines across cloud platforms (AWS, GCP, Azure) Work with modern data technologies such as Databricks, Snowflake, cloud data lakes, and orchestration tools Develop high-quality data models to support analytics, reporting, and AI use cases Collaborate with clients to translate business requirements into well-structured, actionable data solutions Implement data ingestion, transformation, storage, and access layers across multi-cloud environments Support or implement dbt, CI/CD, and engineering best practices across projects Ensure strong data quality, governance, lineage, and performance practices Contribute to reusable components, accelerators, and internal engineering frameworks Work closely with cross-functional consultants, analysts, and architects to deliver cohesive solutions Mentor junior engineers and positively influence client delivery 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 or analytics engineering Strong hands-on experience with Databricks, 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 Knowledge of DevOps concepts, version control, and/or CI/CD in data environments Excellent communication, problem-solving, and collaboration skills Melbourne-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.

Responsibilities

Design and deliver modern, scalable data solutions across multi-cloud environments while working directly with clients to understand their data challenges. Architect and build high-quality data pipelines to support analytics, governance, and AI enablement initiatives.