We are seeking a talented Data Engineer to join an established ICT team in Sydney CBD. In this pivotal role, you will design, build, and optimize scalable data platforms and pipelines that power data-driven decision-making across major enterprise transformation initiatives.
This is initially a 12-month Fixed-Term Contract, with a view to convert to a permanent role.
What You'll Be Doing
Data Engineering & Pipelines:
Deliver scalable, secure, and reliable data pipelines and transformations supporting company-wide analytics and reporting.
Platform Optimisation:
Maintain and optimise modern database and data warehouse environments for speed, availability, and security.
Data Governance & Architecture:
Implement best-practice data modeling (Kimball/Inmon), Medallion architecture, metadata management, and security frameworks (ISO */SOC 2).
DevOps & Automation:
Champion DataOps principles, CI/CD automation, scripting, and continuous delivery within cloud environments.
Technical Leadership & Collaboration:
Work closely with cross-functional ICT teams, PMO delivery managers,



and business stakeholders to solve complex data challenges and refine requirements.
What We're Looking For
Database & Warehouse Expertise:
Robust hands‐on experience across Snowflake, Oracle, and MS SQL Server.
Data Stack & Scripting:
Proficiency with Python, shell scripting, dbt, Airflow, Attunity, and Tableau.
Cloud & DataOps:
Deep familiarity with AWS (including AWS RDS), version control (BitBucket/Subversion), and contemporary CI/CD/DataOps pipelines.
Architecture & Governance:
Practical knowledge of Medallion architecture, metadata lineage tools (e.g., OpenLineage, Amundsen), and enterprise security compliance.
Communication & Autonomy:
Solid problem-solving mindset with the ability to work independently, make technical design decisions, and engage constructively with stakeholders.
Education:
Tertiary qualifications in Computer Science, Information Systems, or a related field.
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📌 Data Engineer Sydney
🏢 Motion Recruitment
📍 Sydney