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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