Analytics Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and scale data pipelines: Design and implement scalable data pipelines, from initial scoping to final delivery.

• Cross-functional collaboration: Work with stakeholders throughout the organization to determine data requirements and convert them into technical solutions.

• Establish a reliable reporting infrastructure: Build efficient, thoroughly tested data models that support internal reporting, self-service analytics, and informed decision-making.

• Design scalable data models: Utilize modeling frameworks (such as one big table, entity tables, event streams, Kimball) tailored to specific use cases.

• Optimize and monitor performance: Ensure pipeline health, enhance query performance, and implement data quality monitoring processes.

• Empower the team: Document solutions, set best practices, and assist in upskilling fellow Analytics Engineers and Analysts.

• Integrate cross-domain data: Collaborate across different domains to unify data into cohesive, reusable reporting frameworks.

⛳️ Requirements

• Over 3 years of experience in analytics engineering, data engineering, or related fields.

• Proficient in DBT: Comfortable handling complex DBT projects and various materializations (incremental, table, view, etc.), along with snapshots, variables, macros, and Jinja.

• Strong SQL skills: Focused on query optimization and performance tuning.

• Familiarity with modern data stack: Experience with DBT Core and/or DBT Cloud, Git. Experience with Redshift is a plus.

• Collaborative mindset: Ability to work effectively with analysts, PMs, and engineers to translate business needs into technical solutions.

• Effective communicator: Capable of adjusting communication styles for different audiences and linking technical work to business results.

• Proactive approach: Recognize opportunities for enhancement and take action without waiting for direction.

• AI-curious: Experience or interest in utilizing AI tools for development processes. A background in AI-assisted development is advantageous.

🏝️ Benefits

• Competitive salary and equity options.

• Generous vacation policy, including Wellness days, Flex Days, and holiday closures.

• Remote-first work environment, coworking support, and an annual all-hands retreat.

• Access to coaching and professional growth programs.

• Parental top-up and leave policies.

• Comprehensive health benefits package.

• Budget for books, home office setup, phone and internet expenses, AI tools, and professional development opportunities.