Data Engineer - Consultant

Intelligen Group

AUhybridPosted Jun 10, 2026
Posting intelligenceActively listed

Skills

databrickssnowflakeazurecicdgooglecloudawsdbt

About the role

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.

Requirements

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

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

Benefits

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 opinions and ideas.

You’ll join a team that’s smart, kind, and ambitious. You’ll have real influence - in your projects, your practice, and the broader business. And as we grow, so will you. Here’s what that looks like:

Grow With Purpose

Structured development pathways so you always know what you’re working toward.

Paid certifications across all major cloud and data technologies (mastery matters)

Weekly training and knowledge exchanges where practitioners share real project insights.

Support That Helps You Thrive

A dedicated support lead to mentor, guide and help you navigate your career

Regular 360° feedback loops, giving you clear direction and honest insight into your progress.

A Community You’ll Enjoy Being Part Of

Innovation days where you can experiment, prototype and sharpen new skills.

Team days, social catchups, many new community clubs…

Opportunities to lead, influence and shape our growing practice as we across the region.

If you want to be part of a team that cares just as much about how we deliver as what we deliver; where curiosity is valued, ideas matter, and your impact is felt - drop us a message and start the conversation today.

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Compensation for Data Engineer roles in Australia varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for Australia medians across recent openings.

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