Data Engineer

Talent Insights GroupMelbourneHybridFull-time5 Oct 2026

A fast-growing data and AI consultancy in Melbourne is seeking a mid-level Analytics Engineer to build modern data platforms, analytics solutions, and AI-powered products for enterprise clients. The role involves owning the journey from raw data to insights, including data pipelines, semantic layers, and Power BI dashboards, while working closely with stakeholders. Requires 3-5 years of experience in Analytics Engineering, BI Development, or Data Engineering, with strong Power BI and SQL skills.

What you'll do

Design and build end-to-end data pipelines, from ingestion and transformation through to modelling and reporting
Design and maintain semantic layers and dimensional data models that support trusted, self-service analytics
Build and maintain Power BI dashboards, datasets and visualisations
Run requirements and discovery sessions with business stakeholders to understand use cases, metrics and dimensions
Translate business requirements into scalable and well-structured data models
Establish consistent naming conventions, metric definitions and business logic across analytical models
Work with modern data engineering tools across ingestion, ELT/ETL, orchestration and transformation
Use SQL and transformation frameworks such as dbt to develop reliable analytical datasets
Collaborate with data engineers, data scientists, delivery teams and client stakeholders
Apply engineering best practice including version control, testing, CI/CD and documentation
Contribute reusable data modelling patterns and frameworks to improve how future projects are delivered

What you need

Must-have

Power BISQLData ModellingDimensional ModellingSemantic LayersdbtBigQuerySnowflake

Nice-to-have

AILLMNatural-language queryingConversational BIAgentic analyticsData governanceAccess controlsData cataloging

Soft skills

CommunicationStakeholder managementProblem-solvingOwnership

Data EngineerAnalytics EngineerPower BISQLdbtGCPMelbourneHybridMid-levelConsulting

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Must-have

Nice-to-have

Soft skills

What you'll do

What you need