AI Summary
Join Adastra as a Senior Data Engineer to build scalable data pipelines on GCP, support production systems, and collaborate with cross-functional teams.
Key Highlights
Building and maintaining scalable data pipelines on GCP
Supporting production systems and troubleshooting data issues
Collaborating with cross-functional teams
Technical Skills Required
Benefits & Perks
Competitive salary and benefits package
Full remote work flexibility
20–30 days paid absence (vacation, holidays)
Job Description
Are you a proactive Data Engineer with strong GCP experience and a passion for solving complex data challenges?
🔍 What We’re Looking For:
- Strong proficiency in SQL and Python
- Hands-on experience with Google Cloud Platform (GCP)
- Familiarity with Kubernetes and containerized environments
- Ability to work independently with minimal supervision
- Comfortable supporting production environments and resolving data-related issues
- Must be available to work Toronto EST hours
- Strong English skills both written and spoken
🛠 What You’ll Be Doing:
- Building and maintaining scalable data pipelines on GCP
- Supporting production systems and troubleshooting data issues
- Collaborating with cross-functional teams to ensure data reliability and performance
- Working in a fast-paced environment with autonomy and ownership
🚀 What We Offer:
- Competitive salary and benefits package
- Full remote work flexibility
- Independent contractor
- Work with cutting-edge technologies in a dynamic, collaborative team
- 20–30 days paid absence (vacation, holidays)
- Birthday bonus
- Access to 500+ lifelong learning courses and development opportunities
- Fast-track leadership growth paths for senior professionals
- Open-door policy with a global, inclusive team culture
🚫 Important: CVs submitted in Spanish will not be considered. Please ensure your resume is in English.
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