Data Engineer
Posted 30 days ago · 0 applicants
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The role in plain words
- 4+ years of hands-on data engineering experience
- Bachelor's degree in Data Engineering, Computer Science, Software Engineering or Information System Engineering
- Deep expertise in data modeling and data warehouse design
- Proven experience in Python and common data engineering frameworks
- Strong hands-on experience with Google Cloud Platform (GCP)
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for reference• Design, build, and maintain scalable data pipelines and infrastructure entirely within GCP
• Own data solutions end-to-end, from architecture and design through to production delivery
• Build and maintain custom connectors to advertising platforms including Google Ads, Meta (Facebook) Marketing API, and other ad platforms
• Design and implement data warehouse structures with a deep focus on performance, scalability and usability
• Continuously investigate and evaluate new GCP native tools and services, assessing their fit, building proof of concepts, and driving adoption where it makes sense
• Set up and configure orchestration and transformation frameworks (such as Airflow and dbt) within the GCP environment
• Collaborate closely with backend engineers to ensure data infrastructure aligns with product and system needs
• Contribute to data science initiatives and bring genuine curiosity to analytical use cases
• Monitor, troubleshoot, and continuously improve the reliability and performance of existing data systems
• Define technical standards and best practices for the data platform
• Build and maintain data dashboards and reports to surface insights for stakeholders, primarily using Looker Studio.
Requirements
• 4+ years of hands-on data engineering experience
• Bachelor's degree in Data Engineering, Computer Science, Software Engineering or Information System Engineering - a Data Engineering degree is strongly preferred
• Deep expertise in data modeling and data warehouse design
• Proven experience in Python and common data engineering frameworks
• Strong hands-on experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer and related GCP data services
• Experience building API connectors and integrations with third-party platforms (advertising APIs such as Google Ads, Meta Marketing API, or similar are a strong advantage)
• Solid understanding of distributed systems, data at scale and cloud infrastructure
• Ownership mindset - you take responsibility, follow through and hold a high bar for quality
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 4+ years of hands-on data engineering experience, Bachelor's degree in Data Engineering, Computer Science, Software Engineering or Information System Engineering, Deep expertise in data modeling and data warehouse design, Proven experience in Python and common data engineering frameworks, Strong hands-on experience with Google Cloud Platform (GCP)