💡 Are you passionate about designing powerful data solutions and transforming complex information into high-performance analytics?
We’re hiring a Data Warehouse Developer for a full-time permanent position with a forward-thinking technology organization focused on building scalable, future-proof data platforms.
In this role, you’ll take the lead in architecting, optimizing, and evolving enterprise data warehouse systems, ensuring data flows are reliable, efficient, and designed for long-term growth. You’ll shape technical decisions and be the go-to expert for data engineering excellence.
💻 Who You Are
You’re an experienced data engineer who thrives on solving complex data challenges. You enjoy architecting pipelines, optimizing systems, and elevating the performance of everything you touch. You’re collaborative, thoughtful in your approach, and confident in advising teams on best practices. You take pride in building solutions that scale, and in helping others grow their technical skills along the way.
📍 Work Type
Location: London, ON (Remote)
Vacancy Type: This role is a newly created position
🎯 What You’ll Do (Your Superpowers)
Influence architectural direction through prototyping, evaluation, and technical leadership
Design and build scalable, performant data warehouse solutions supporting analytical platforms
Enhance and maintain data pipeline frameworks that process large datasets with efficiency and reliability
Optimize database performance, troubleshoot issues, and implement improvements
Collaborate closely with developers, client services, data partners, and leadership teams
Mentor junior and intermediate developers, providing guidance on best practices and coding standards
Serve as a trusted subject matter expert, offering clarity and direction across projects
Maintain comprehensive documentation for data models, ETL workflows, and system processes
Lead initiatives independently, prioritizing work, advising leadership, and driving platform evolution
Resolve technical challenges with strategic, future-focused solutions that exceed expectations
⭐ What We’re Looking For (Our Wishlist)
4+ years of hands-on experience in data warehousing or data engineering
Strong expertise in SQL, Python, and modern ETL/ELT tools (e.g., Informatica, Apache Airflow, AWS Glue)
Strong background in data modeling, schema design, and database performance optimization
Experience working with cloud data warehouses (AWS, Redshift, Snowflake, etc.)
RESTful API development experience (e.g., Django)
Proven ability to lead projects, mentor developers, and influence architectural decisions
Experience building and maintaining CI/CD pipelines and DevOps processes
Strong debugging, troubleshooting, and analytical thinking, able to resolve issues quickly and strategically
Familiarity with Master Data Management, MySQL, Redshift, Elasticsearch
AWS certifications are an asset
🔥 What Makes This Role Exciting
Innovation & Ownership – You’ll shape the data warehouse strategy, build cutting-edge solutions, and lead initiatives that directly impact the business
Learning & Growth – Work with modern data technologies, mentor a growing team, and influence architecture and best practices
Impact – Your work powers analytical platforms, data-driven decisions, and key organizational capabilities
Base Salary: $90,000 – $120,000
Paid Time Off: Competitive vacation and personal days to maintain a healthy work-life balance
Comprehensive Health Benefits: Medical, dental, and vision benefits to support your overall well-being
Culture & Team: Be a part of a supportive cross-functional team, that thrives on collaboration and innovation, where every member's ideas are valued and contribute to shared goals and success
📩 Ready to Elevate Your IT Career? Apply Now!
At STACK IT Recruitment, we connect top technical talent with standout opportunities across Canada. If you meet at least 70% of the qualifications, we encourage you to apply - we’d love to chat!
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✨ We’re proud to support diversity and inclusion. Need accommodation during the hiring process? Just let us know - we’re here to help.
AI Use Disclosure:
STACK IT uses AI-enhanced tools to support initial candidate screening and interview note analysis. All assessments and hiring decisions remain human-led.
