Data Engineer - GCP/BigQuery

Data Engineer GCP

Duration: 6 months to start (high possibility for extensions)

Location: Toronto, ON (hybrid, 1 day a week)

What you will do

• Lead the development of new data solutions supporting the end-to-end customer journey, from Sales submission to Billing.

• Build data products that serve as the single source of truth for B2B performance reporting and marketing activity.

• Use Claude and MCP-connected tools to accelerate pipeline development, code generation, testing, documentation, and code/data audits.

• Apply AI-assisted data mining and exploratory analysis to uncover new data pipelines, value chains, and revenue, churn, and cross-sell opportunities.

• Define guardrails for responsible AI use: validating AI-generated SQL and code, protecting sensitive data, and maintaining auditability.

• Collaborate with stakeholders across marketing, product, sales, and data engineering.

• Build trust in our data products across the organization.

• Provide regular updates on KPIs, programs, and new solutions to leadership and stakeholders.

• Mentor junior team members, including coaching them on effective, responsible AI-assisted development.

What you bring

• 4+ years of experience leading large projects with multiple stakeholder groups.

• Experience with cloud platforms (GCP BigQuery preferred) and cloud-native technologies.

• Strong SQL skills and experience with databases such as Oracle or SQL Server.

• Hands-on experience using generative AI tools (Claude, Copilot, or similar) in data engineering workflows, with sound judgment on when to trust, verify, or override AI output.

• Familiarity with prompt design and AI agent concepts; experience with MCP, APIs, or tool integrations is an asset.

• Proven ability to answer business questions with data, define business outcomes, and manage stakeholder expectations.

• Excellent analytical skills, comfort with data ambiguity, and a passion for metrics.

• A love for exploring quantitative and qualitative data.

• Commitment to continuous learning in telco, technology, AI, and customer experience.

• Strong planning, performance, and business analysis skills.

• A desire to be part of a high-performing team that celebrates successes and shares learnings.

• A bachelor's degree in Engineering, Statistics, Computer Science, or a related field.