Senior Data & AI Engineer — Audience & Measurement

Cartology; Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work environment

Data & AI COE

Job summary

Cartology is recruiting a Senior Data & AI Engineer to build data pipelines, models and audience datasets powering targeting and campaign measurement. You will work hands-on with BigQuery, dbt, Airflow, and Python on GCP to process ad logs and segmentation data, informing brand planning and ROI.

You will join a project team to establish these capabilities before embedding into the core Data & Audience team, championing engineering standards and AI practices across the organisation.

Qualifications

• 5+ years in data engineering with deep expertise in SQL, Python, dbt, Airflow, and BigQuery.
• Hands-on experience with advertising data, including ad logs, audience segmentation, and campaign measurement.
• Strong business acumen with the ability to connect engineering decisions to ROI and revenue.

Responsibilities

• Design, build, and operate production data pipelines and models for audience planning and campaign measurement.
• Develop governed, high-quality audience and measurement datasets for AI applications.
• Establish core software practices across the stack, including CI/CD, testing, observability, and cost optimization.
• Drive the adoption of AI-assisted engineering tools with safety guardrails and evaluation frameworks.
• Collaborate with product, measurement, and commercial teams to translate business questions into technical solutions.
• Deliver initial MVP pipelines and models within the first year to meet platform speeds.
• Stand up comprehensive datasets for post-campaign reporting across on-network and off-network channels.

Skills

SQL

Python

dbt

Airflow

BigQuery

Tools

BigQuery

dbt

Airflow

Python

Looker LookML

Hightouch

Job description

Cartology is recruiting a Senior Data & AI Engineer to build data pipelines, models and audience datasets powering targeting and campaign measurement. You will work hands-on with BigQuery, dbt, Airflow, and Python on GCP to process ad logs and segmentation data, informing brand planning and ROI.

You will join a project team to establish these capabilities before embedding into the core Data & Audience team, championing engineering standards and AI practices across the organisation.