Senior Analytics Engineer (Remote - Canada)

Jobgether; Canada; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading company is seeking a Senior Analytics Engineer in Canada. This fully remote role involves designing data models, leading SQL transformations, and collaborating with teams to enhance data-driven decision making. Ideal for data-driven professionals passionate about analytics.

Benefits

Fully remote role

Competitive salary package

Modern tech stack

Opportunity to shape data-driven decisions

Collaborative work environment

Autonomy to grow expertise

Inclusive company culture

Qualifications

• 4+ years of experience in Analytics or Data Engineering.
• Proficiency managing dbt projects with a focus on testing and documentation.

Responsibilities

• Design and build performant, reusable data models.
• Lead the development of SQL transformations and governance frameworks.
• Collaborate with stakeholders to deliver tailored data solutions.

Skills

SQL

Problem Solving

Communication

Tools

dbt

Git

Snowflake

AWS

Job description

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently seeking a Senior Analytics Engineer in Canada.

This role is ideal for a data-driven professional passionate about transforming raw data into meaningful insights through scalable, maintainable, and high-performing data models. As a Senior Analytics Engineer, you will enable cross-functional teams to make better decisions by building trusted datasets and modernizing data infrastructure. You will collaborate closely with various departments to architect solutions that provide real-time, actionable insights.

Accountabilities:

1. Design and build performant, reusable data models that scale analytics across the organization.
2. Lead the development of SQL transformations, governance frameworks, and best practices for dbt pipelines.
3. Own data quality and observability, proactively identifying and resolving data issues.
4. Collaborate with stakeholders from various teams to understand data needs and deliver tailored data solutions.
5. Champion engineering best practices within the analytics pipeline, including testing, version control, and documentation.
6. Maintain and evolve data infrastructure using tools such as Snowflake, dbt, Terraform, and observability platforms.

Requirements:

1. 4+ years of experience in Analytics or Data Engineering, with at least 2 years focused on Analytics Engineering.
2. Advanced SQL skills and knowledge of database performance optimization.
3. Proficiency managing dbt projects with a focus on testing, documentation, and reusability.
4. Strong experience with Git, data observability tools (e.g., Metaplane), and cloud-based data infrastructure.
5. Familiarity with tools like Hex, S3, AWS, and the use of AI assistants to enhance productivity.
6. Excellent problem-solving and communication skills with the ability to collaborate across teams.
7. Preferred: Experience in a SaaS or subscription-based business and hands-on experience with the specified data stack.

Benefits:

1. Fully remote role based in Canada.
2. Competitive salary package.
3. Modern tech stack and a high-impact role in a data-first company.
4. Opportunity to shape how data drives business decisions across departments.
5. Collaborative and fast-paced work environment.
6. Autonomy and support to grow your technical expertise.
7. Inclusive company culture with a focus on performance and learning.

Jobgether Hiring Process Disclaimer:

This job is posted on behalf of one of our partner companies. If you apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes your CV and LinkedIn profile to assess fit, with manual review if needed. Our process is fair, unbiased, and based solely on qualifications and relevance. Only the top 5 candidates will be notified within 7 days.

If you are not selected, you may be considered for other opportunities matching your profile.

Thank you for your interest!

Additional Information:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Non-profit Organizations and Education