Senior Data Engineer Data Platform & Engineering

What youll be doing

As a Senior Data Engineer for Data Platform Engineering youll own a significant domain of our data platform and be a technical anchor for the wider team.

• Own the reliability quality and evolution of a significant portion of our data platform built on Snowflake dbt Cloud RabbitMQ Postgres and GitHub Actions.
• Lead performance tuning and cost optimisation across our Snowflake environment - query profiling micro-partition analysis clustering strategy and warehouse configuration.
• Design model architecture in dbt Cloud enforce testing standards and guide the team on incremental strategy and modelling best practice.
• Architect scalable fault-tolerant data pipelines and define standards for error handling observability and pipeline design.
• Act as a technical representative for DPE with product commercial and analytics stakeholders translating business requirements into data engineering solutions.
• Own significant platform domains and act as the escalation point for incidents within them - driving root cause analysis and systemic reliability improvements.
• Actively develop the capability of the wider team through mentoring code review and knowledge sharing particularly in high-risk or concentrated-expertise areas.
• Evaluate and recommend AI tooling for the team with a focus on responsible use reliability and auditability of AI-augmented pipelines.

Qualifications :

What were looking for 

• Deep expertise in SQL and Snowflake - clustering pruning warehouse sizing result caching Snowpipe Streams and Tasks.
• Expert-level dbt Cloud experience - model architecture testing standards incremental strategies and (ideally) exposure to MetricFlow or semantic layers.
• Strong Python engineering practices - production-grade testable maintainable code for pipeline development.
• Proven experience with event-driven and messaging architecture (RabbitMQ or equivalent) - exchange types routing dead-letter queues and consumer/producer design.
• Solid Postgres experience in a production pipeline context - indexing query optimisation MVCC and troubleshooting replication or performance issues.
• Working proficiency / C# is a plus - comfortable reading triaging and maintaining existing pipeline code without needing to be a developer.
• Strong grasp of data governance privacy and security practices and a track record of building governance into pipelines from the start.
• Comfortable using AI coding assistants across the full development lifecycle with a critical eye on output quality data privacy and cost.
• Strong collaboration and communication skills aligned with our values: (customer-obsessed curious connected).

We know not everyone will meet every requirement and thats okay. If youre excited about the role and believe you can make a difference wed love to hear from you.

Additional Information :

A few other things we want you to know...

• As an equal opportunity employer carsales welcomes applications from individuals of all backgrounds identities abilities and life experiences. We are committed to fostering a diverse and inclusive workplace where everyone feels valued and supported.
• If you have a disability or require adjustments to participate fully in the recruitment process please let us know - were here to support you.
• We understand the importance of work-life balance and offer flexible working arrangements including part-time options. If youd like to explore this just ask during the process.
• Were also a proud Circle Back Initiative employer which means we commit to responding to every applicant.
• Successful candidates joining the carsales team will need to complete a National Police Record check and must have full-time Australian working rights.

So come and join our team - because every role is a big role in our plans to go big.

Remote Work :

No

Employment Type :

Full-time