Analytics Engineer

Accountabilities: In this role, you will design, build, and maintain modern data solutions that power analytics and business decision-making:

Develop and optimize scalable data pipelines for ingestion, transformation, and delivery of high-quality datasets

Write efficient SQL and Python code to support analytics engineering and data processing workflows

Collaborate with business stakeholders to translate requirements into technical data solutions and models

Build and maintain data models and ensure alignment with architecture standards and best practices

Work with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric to support analytics workloads

Implement CI/CD pipelines for data workflows to ensure reliability, repeatability, and scalability

Ensure data quality through testing, monitoring, observability, and documentation practices

Support BI tools and downstream consumers by enabling reliable and well-structured data access layers

Troubleshoot and resolve performance or system issues in production environments

Contribute to continuous improvement by identifying new tools, technologies, and best practices

Requirements:

To succeed in this role, you bring strong technical expertise in data engineering and analytics, combined with a consulting mindset:

3+ years of experience in data engineering, analytics engineering, or related data-focused roles

Strong proficiency in SQL for complex querying, data transformation, and optimization

Solid experience with Python for data processing and automation tasks

Hands-on experience with cloud data platforms such as Snowflake, Databricks, or Microsoft Fabric

Experience building or supporting CI/CD pipelines in a data environment

Familiarity with BI tools and enabling data for downstream analytics and reporting use cases

Strong understanding of relational databases, data modeling, and data warehouse concepts

Experience implementing data quality frameworks, including testing, monitoring, and observability

Proven ability to work with business stakeholders (e.g., finance, operations) to deliver data solutions

Strong problem-solving skills, adaptability, and ability to work in fast-paced consulting environments

Excellent communication skills and ability to translate technical concepts for non-technical audiences

Must be based in Vancouver or Toronto, Canada

Benefits:

Competitive base salary range: CA$75,000 – CA$135,000

Annual performance bonus of 15–25% of base salary

Remote-first work model with flexibility depending on project needs

Opportunity to work on diverse client engagements across industries

Exposure to modern data stacks and cutting-edge analytics technologies

Career growth in both technical and consulting tracks

Collaborative, high-impact environment focused on learning and innovation

Occasional travel opportunities for client workshops and strategic sessions

Work on greenfield projects with significant ownership and visibility

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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