Want to get hired at Minute Media?
Data Engineer
Minute Media
HybridHybrid
Original Job Summary
Overview
Minute Media is a leading global tech-driven media company that develops all its technological needs in-house. The company powers renowned content brands such as Sports Illustrated, The Players’ Tribune, and others. The Data Engineer role focuses on advertising technology and revenue analytics.
What You’ll Do
- Own and improve Minute Media’s end-to-end data infrastructure and pipelines.
- Integrate data from multiple ad platforms and internal systems into a central BigQuery data warehouse.
- Collaborate with Finance, AdOps, Product, and Content teams to deliver data-driven solutions.
- Design and manage foundational data architectures and tables ensuring scalable unified metrics.
- Develop, maintain, and optimize ETL/ELT processes using Rivery and custom solutions.
- Implement robust data quality, validation, and reconciliation processes.
- Monitor and troubleshoot data pipelines, recommending improvements for stability and scalability.
- Stay updated with industry best practices in data engineering, ad tech analytics, and AI/ML.
Requirements
- 4+ years of experience in data engineering, BI development, or similar roles.
- Strong proficiency in SQL and experience with large datasets in Google BigQuery.
- Hands-on experience with ETL/ELT tools like Rivery or Airflow.
- Experience with BI and data visualization platforms.
- Effective communication skills to work with technical and non-technical stakeholders.
- Familiarity with digital advertising technology and monetisation metrics.
- Proficiency in Python and additional Google Cloud Platform services.
- Strong analytical, problem-solving skills, and attention to detail.
- Experience in online publishing or digital media is an advantage.
Key skills/competency
- Data Infrastructure
- BigQuery
- ETL/ELT
- SQL
- Data Quality
- Ad Tech
- Python
- Cloud
- Analytics
- Data Architecture
How to Get Hired at Minute Media
🎯 Tips for Getting Hired
- Research Minute Media's culture: Understand their brands and tech innovations.
- Customize your resume: Highlight data engineering and ad tech skills.
- Prepare for technical interviews: Focus on SQL and cloud platforms.
- Showcase teamwork: Emphasize collaboration with cross-functional teams.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL optimization techniques.
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Practice BigQuery query performance tuning.
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Experiment with ETL tool Rivery usage.
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Refresh Python and cloud pipeline concepts.
Behavioral Questions
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Describe a challenging pipeline project.
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Explain stakeholder communication experiences.
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Discuss teamwork on cross-functional projects.
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Outline problem-solving in data reconciliation.