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CAD $130,000–$175,000/yr

Senior Data Engineer

CanadaRemoteFull-timesenior

Data EngineerData

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Quick Summary

Key Responsibilities

A university degree in Computer Science, Statistics, Business, or a related discipline. Professional experience: At least 4 years of experience in data engineering or analytics engineering,

Requirements Summary

Apply advanced SQL skills to develop, test, and optimize dbt models, ensuring data consistency, quality, and usability across multiple business functions.

Technical Tools

Data EngineerData

Join a forward-thinking digital entertainment team building data-driven products across sports media, online gaming, and interactive entertainment. As a Senior Data Engineer, you will play a key role in transforming complex datasets into reliable, actionable insights that support strategic and operational decisions. You will collaborate with data engineers, analysts, and business stakeholders to develop scalable pipelines and improve the quality and accessibility of data across the organization. Using technologies such as SQL, dbt, BigQuery, Airflow, and Python, you will help build robust data models and streamline data workflows. You will also contribute to analytical best practices, mentor colleagues, and help expand the adoption of modern data exploration tools. This is an exciting opportunity to combine technical expertise, business impact, and an interest in sports and digital consumer experiences within a collaborative, fast-paced environment.

Develop and optimize data pipelines: Build, maintain, and improve data transformation workflows that deliver accurate, reliable, and well-structured datasets to meet business and analytical requirements.

Create and maintain data models: Apply advanced SQL skills to develop, test, and optimize dbt models, ensuring data consistency, quality, and usability across multiple business functions.

Manage workflow orchestration: Configure and maintain Airflow tasks and schedules, monitor pipeline execution, troubleshoot failures, and improve the reliability of data processing operations.

Collaborate with stakeholders: Work closely with business teams to identify data-driven opportunities, clarify requirements, prioritize projects, and align technical solutions with organizational objectives.

Support data engineering initiatives: Partner with fellow engineers to design and implement data pipelines, resolve technical challenges, and improve the efficiency of data infrastructure.

Deliver actionable insights: Conduct data analyses, interpret findings, and present clear recommendations to business stakeholders to support informed decision-making.

Ensure analytical quality: Review team analyses and data models to verify accuracy, reliability, and clarity before insights are shared with stakeholders.

Promote data accessibility: Support the implementation and adoption of data exploration tools, helping teams access, understand, and use data more effectively.

Mentor and develop team members: Contribute to recruitment, onboarding, knowledge sharing, and professional development while helping colleagues strengthen their technical and analytical capabilities.

Drive continuous improvement: Identify opportunities to enhance data processes, resolve recurring issues, and establish practical engineering standards in a dynamic environment.

Support additional priorities: Take on other responsibilities as needed to support the team's evolving objectives.

Requirements

~2 min read

Education: A university degree in Computer Science, Statistics, Business, or a related discipline.

Professional experience: At least 4 years of experience in data engineering or analytics engineering, with a demonstrated ability to deliver dependable data solutions.

Technical expertise: Hands-on experience with BigQuery, dbt, Airflow, Python, and relational databases.

SQL proficiency: Strong SQL skills and experience developing, maintaining, and optimizing data transformation pipelines and analytical data models.

Data workflow management: Familiarity with orchestrating scheduled data workflows, troubleshooting pipeline issues, and maintaining data quality.

Analytical capabilities: Strong problem-solving and analytical skills, with the ability to interpret complex information and translate findings into clear, actionable recommendations.

Data visualization and exploration: Experience with data exploration or analytics platforms such as Looker or Mode is an asset.

Stakeholder management: Excellent communication and relationship-building skills, with the ability to collaborate effectively with technical teams and business stakeholders throughout project lifecycles.

Leadership and mentoring: The ability to share knowledge, support colleagues' development, and contribute to a culture of collaboration and technical excellence.

Adaptability: A pragmatic, proactive approach to problem-solving, with the ability to prioritize effectively and thrive in a fast-paced environment.

Industry interest: An interest in professional sports, sports betting, casino gaming, or digital consumer products is highly valued.

What We Offer

~2 min read

Competitive compensation: Annual base salary range of CAD $130,000–$175,000, depending on qualifications, experience, and other relevant factors.

Comprehensive benefits: Access to a broad benefits package designed to support physical, financial, and emotional well-being, subject to eligibility.

Bonus opportunities: Eligible employees in non-sales positions may qualify for bonuses under applicable compensation plans.

Professional development: Education and conference reimbursement to support continued learning and technical growth.

Career advancement: Opportunities to progress professionally, expand your expertise, and take on greater responsibilities.

Mentoring opportunities: The chance to support colleagues' development and contribute to a strong, collaborative data team.

Remote work: A remote position based in Canada, offering flexibility in where you work.

Collaborative culture: A fun, relaxed work environment that encourages teamwork, knowledge sharing, and continuous improvement.

Meaningful technical challenges: The opportunity to work with modern data technologies supporting large-scale digital entertainment, sports media, and gaming products.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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✓Competitive compensation: Annual base salary range of CAD $130,000–$175,000, depending on qualifications, experience, and other relevant factors.

✓Comprehensive benefits: Access to a broad benefits package designed to support physical, financial, and emotional well-being, subject to eligibility.

✓Bonus opportunities: Eligible employees in non-sales positions may qualify for bonuses under applicable compensation plans.

✓Professional development: Education and conference reimbursement to support continued learning and technical growth.

✓Career advancement: Opportunities to progress professionally, expand your expertise, and take on greater responsibilities.

✓Mentoring opportunities: The chance to support colleagues' development and contribute to a strong, collaborative data team.

✓Remote work: A remote position based in Canada, offering flexibility in where you work.

✓Collaborative culture: A fun, relaxed work environment that encourages teamwork, knowledge sharing, and continuous improvement.

✓Meaningful technical challenges: The opportunity to work with modern data technologies supporting large-scale digital entertainment, sports media, and gaming products.