Senior Ad Ops Engineer

General Motors Australia & New Zealand

Remote
Base: $129,400 - $198,400; bonus/equity: incentive...
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Marketing platform data
Digital advertising data structures
Automated data quality frameworks
** General Motors Australia & New Zealand is seeking a Senior Ad Ops Engineer to work remotely, focusing on architecting and developing data products that support marketing analytics and insights. The ideal candidate will have extensive experience in data engineering, digital advertising ecosystems, and proven proficiency in technologies such as Python and SQL. **

Job Summary

  • Architect, build, and optimize data pipelines for marketing and advertising datasets, including nonstandard or semi-structured partner formats.
  • Build and maintain automated data quality and validation systems using LLM-based and rule-based approaches.
  • Collaborate with cross-functional teams to interpret marketing data requirements and translate them into scalable technical solutions.

Matching Summary

Match Score: 75

** General Motors Australia & New Zealand is seeking a Senior Ad Ops Engineer to work remotely, focusing on architecting and developing data products that support marketing analytics and insights. The ideal candidate will have extensive experience in data engineering, digital advertising ecosystems, and proven proficiency in technologies such as Python and SQL. **

Salary

Base: $129,400 - $198,400; Bonus/Equity: Incentive pay program; Benefits: Medical, dental, vision, retirement savings plan, paid vacation & holidays, tuition assistance

Skills & Requirements

Must-have

  • Marketing platform data
  • Digital advertising data structures
  • Automated data quality frameworks
  • LLM-powered agents
  • Third-party marketing platforms and APIs
  • Log-level data ingestion

Nice-to-have

  • Real-time or streaming pipelines
  • Databricks Mosaic AI
  • LLMOps workflows
  • Multi-touch attribution datasets
  • Pseudonymous Identity services

Key Requirements

  • 5+ years of experience in data engineering
  • 2+ years of experience with digital advertising
  • Bachelor’s degree in Computer Science or related field
  • Proficiency in Python, SQL, and PySpark
  • Experience with modern data platforms (Databricks, Snowflake, Kafka, dbt, Airflow)
  • Experience architecting solutions in cloud environments (Azure preferred)

Work Rights

Not specified

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