Staff Data Engineer

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential digital entertainment organization in their search for a Staff Data Engineer based in Canada. This is a senior technical leadership position where you'll architect and deliver enterprise-scale data solutions that power analytics, reporting, and business intelligence across the organization.

You'll partner with cross-functional teams including data services, analytics engineering, product, and business stakeholders to shape the future of the data platform. This role combines deep technical expertise with strategic influence, mentoring, and hands-on engineering.

Responsibilities

• Design, build, and maintain scalable data pipelines supporting analytics, reporting, product, and operational use cases
• Develop, test, and optimize dbt models following data modeling best practices
• Manage and support orchestration platforms including Airflow and exposure to Dagster
• Design and implement dimensional, semantic, and analytical data models to enable self-service analytics
• Drive data architecture decisions and establish engineering standards and best practices
• Partner with platform teams to improve reliability, scalability, and performance of the data ecosystem
• Develop and maintain data quality frameworks, testing strategies, and observability solutions
• Support governance initiatives through documentation, metadata management, lineage, and data ownership practices
• Complete complex analyses and provide actionable recommendations to business stakeholders
• Lead technical design reviews and provide mentorship through code reviews and architectural guidance
• Support hiring, onboarding, and professional development of data engineers
• Participate in incident response, root cause analysis, and continuous improvement initiatives

What We're Looking For

• Bachelor's degree in Computer Science, Data Engineering, Statistics, Information Systems, Business, or related field
• 8+ years of experience in data engineering, analytics engineering, or related discipline
• Hands-on expertise with BigQuery, dbt, Airflow, Python, SQL, and modern cloud data platforms
• Strong understanding of data warehousing concepts, ETL/ELT design patterns, and dimensional modeling
• Experience building and optimizing scalable data transformation pipelines in cloud environments
• Experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer
• Exposure to Azure data platforms is a plus
• Proficiency with Git-based development workflows, CI/CD pipelines, and software engineering best practices
• Experience implementing automated testing, monitoring, and data observability solutions
• Experience with data visualization and exploration tools such as Looker, Mode, Tableau, or similar platforms
• Excellent communication and stakeholder management skills with ability to translate business requirements into technical solutions
• Proven ability to lead complex projects and influence technical direction across multiple teams

How We Work with You

When you apply through Get A Job.ai, one of our experienced recruiters will review your background and schedule a screening conversation to understand your goals and experience. If there's a strong match, we'll submit your profile to our client for consideration. We ask that you work exclusively through our team and not contact the client directly, as we manage the interview process and advocate on your behalf throughout.

Pay

Pay via Get A Job.ai for this position is $160,000–$205,000 CAD annually, based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to equal employment opportunity. We consider all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.