Customer Analytics Engineer

Motion Recruitment; City of Melbourne; On-site; AUD 100,000 - 140,000; Full time

Job summary

Motion Recruitment is representing a leading Australian organization in search of a Customer Analytics Engineer for a 12-month fixed-term engagement. This critical role involves end-to-end transformation of complex customer datasets, ensuring data architectures align with governance frameworks.

The ideal candidate will possess extensive experience with Snowflake, proven capabilities in SQL development, and familiarity with data governance tools like Elation. Strong analytical skills and communication abilities are essential for success in this position.

Qualifications

• Extensive experience with Snowflake architecture and performance optimization.
• Proven track record of deploying version‑controlled models using dbt.
• Advanced command of SQL for complex data manipulation and extraction.
• Practical experience using Elation for managing data governance workflows.
• Previous experience within customer analytics or large‑scale consumer services is highly desirable.

Responsibilities

• Design, develop, and maintain robust data transformation pipelines using dbt within a Snowflake environment.
• Execute sophisticated SQL development to support advanced analytics and customer lifecycle modeling.
• Utilize Elation to maintain data lineage and ensure adherence to compliance and quality standards.
• Act as a technical liaison between data engineering and business units.

Skills

Cloud Data Warehousing

Analytics Engineering

SQL Development

Data Governance Tools

Strong analytical skills

Communication skills

Tools

Snowflake

dbt

Elation

Job description

We are currently representing a well known Australian organization in their search for a Customer Analytics Engineer for a 12-month fixed-term engagement. This role is a critical component of the enterprise data team, responsible for developing high-quality, governed data models that underpin the organization's customer-centric strategies.

The successful candidate will be responsible for the end-to-end transformation of complex customer datasets. You will ensure that data architectures are scalable, performant, and aligned with enterprise data governance frameworks.

Responsibilities

• Data Transformation & Modeling: Design, develop, and maintain robust data transformation pipelines using dbt within a Snowflake environment.
• SQL Development: Execute sophisticated SQL development to support advanced analytics, segmentation, and customer lifecycle modeling.
• Data Governance & Metadata Management: Utilize Elation to maintain data lineage, enhance data discoverability, and ensure adherence to internal compliance and quality standards.
• Stakeholder Integration: Act as a technical liaison between data engineering and business units to ensure data outputs are fit-for-purpose and technically sound.

Requirements

• Cloud Data Warehousing: Extensive experience with Snowflake architecture and performance optimization.
• Analytics Engineering: Proven track record of deploying version‑controlled models using dbt.
• Relational Database Expertise: Advanced command of SQL for complex data manipulation and extraction.
• Data Governance Tools: Practical experience using Elation (or an equivalent enterprise data catalog) to manage data governance workflows.
• Domain Knowledge: Previous experience within customer analytics, retail, or large‑scale consumer services is highly desirable.
• Strong analytical and problem‑solving capabilities.
• A meticulous approach to data documentation and quality assurance.
• Exceptional communication skills, with the ability to navigate a large, complex corporate structure.