GCP Data Engineer
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.
