1 month ago
Sydney, AustraliaMid Level
Responsibilities
- Build and maintain pipelines bringing GA4 exports, advertising-platform data, and CRM data into BigQuery.
- Model raw event data into documented tables using SQL, dbt, or Dataform.
- Orchestrate data jobs with Cloud Composer, Airflow, Cloud Functions, or Cloud Run.
- Implement data-quality tests and monitoring for analytics datasets.
- Work with GA4 export schemas, event parameters, sessionization, attribution, and tagging implementations.
- Translate measurement plans into tables and metrics and build semantic layers for Looker and Looker Studio.
- Answer client questions with SQL and analyze funnels, channel performance, and customer lifetime value.
- Present data findings to clients and internal stakeholders in clear language.
- Prepare and govern datasets for BigQuery Conversational Analytics, Gemini, and agent-based tools.
- Prototype AI analytics tools such as natural-language querying, automated insight summaries, and anomaly detection.
- Use AI coding assistants to improve development speed and accuracy.
Requirements
- Strong SQL skills, including window functions, CTEs, and nested or repeated-field queries.
- Hands-on BigQuery experience with partitioning, clustering, and cost control.
- Working knowledge of GA4 event models and BigQuery export schemas.
- Experience building and scheduling pipelines on Google Cloud using tools such as Composer, Dataform, dbt, or Cloud Run.
- Python experience for API extraction, data transformation, and automation.
- Experience using Git and documenting technical work.
- Ability to explain data and analytics to non-technical audiences and clients.
- Demonstrated interest in applying AI to analytics through something tried or built.
- Experience with Google Tag Manager, Google Marketing Platform data, Vertex AI, Gemini APIs, or LLM-based agents is preferred.
- Exposure to Consent Mode, first-party data, the Australian Privacy Act, or Google Cloud certifications such as Professional Data Engineer is preferred.
Benefits
- Full-time, permanent position based in Sydney or Melbourne with a hybrid work arrangement.
- Opportunity to work with enterprise brands across automotive, retail, financial services, and higher education.
- Growth opportunities within the AUNZ and APAC data teams, including progression into leadership.
- Early access to Monks AI tools and the opportunity to influence their development.
Categories
Data Engineering
About Monks
Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. It delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI to help the world’s trailblazing companies outmaneuver and outpace their competition.