We're hiring a Senior Data Engineer for a global tech company client to own, optimise, and scale their multi-brand enterprise data platform. If you're a high-trust self-starter who excels at taking raw analytics requirements and building rock-solid data models, this role is for you.

What You'll Do
Maintain and scale production data pipelines using a up-to-date stack (Google BigQuery, dbt, Fivetran).
Partner with stakeholders to build scalable dimensional data models for business-critical analytics.
Monitor, troubleshoot, and optimise BigQuery performance and cloud warehouse costs.
Ensure high data quality, governance, and operational reliability across all datasets.

What You Need
Advanced SQL Mastery (Must-Have): Expert-level capability writing, tuning, and optimizing complex analytical SQL for high-volume, production environments.
Core Tech Stack: 5+ years of Data/Analytics Engineering experience with Google BigQuery and dbt.
Data Architecture: Robust background in ELT tools (Fivetran), dimensional modeling, and data warehousing principles.
Ownership: Ability to troubleshoot issues, communicate with business partners, and manage end-to-end data deliverables independently.

📌 Senior Data Engineer Sydney
🏢 Motion Recruitment
📍 Sydney