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Data Engineer - Consultant

Melbourne, Victoria, Australia💼 Full-time🗓 2026-06-10 → 2026-07-30

Core

Design and deliver modern, scalable data solutions across multi-cloud environments for clients, blending hands-on engineering with consulting to support analytics, governance, and AI enablement.

Role type

Senior Data Engineer (Consultant)

Builds

Scalable data pipelines, high-quality data models, and reusable engineering components for client organizations.

Domain

Data Engineering, Cloud Infrastructure, AI Enablement

Deliverable

production ML models | product features

Required skills

Data pipeline design and optimization, SQL, Cloud platform expertise (AWS/GCP/Azure), Modern data stack (Databricks/Snowflake/dbt), Data modeling, CI/CD practices, Data governance and lineage, Client stakeholder management, Mentoring

Preferred skills

Experience with cloud data lakes, DevOps concepts, Full data lifecycle management

Technologies

AWS, GCP, Azure, Databricks, Snowflake, dbt, Delta Lake

Responsibilities

Design, build, and optimise scalable data pipelines across cloud platforms; Develop high-quality data models to support analytics and AI use cases; Collaborate with clients to translate business requirements into data solutions; Implement data ingestion, transformation, storage, and access layers; Support or implement dbt, CI/CD, and engineering best practices; Mentor junior engineers and influence client delivery

Seniority

Mid-Senior, hands-on IC with client-facing responsibilities

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