AI-Driven Data Engineer (Hybrid Toronto)

Citylitics Inc.; Toronto; Hybrid; CAD 90,000 - 140,000; Full time

Benefits offered by this job

Impactful work

AI tools access

Growth opportunities

Collaborative team

Job summary

Citylitics Inc. in Toronto, ON is seeking a skilled Data Engineer to join our growing team.

You will design, build, and operate production data pipelines that power customer-facing AI-driven solutions, using Python, SQL, Airflow, and BigQuery in a cloud environment. You will collaborate with analysts, product, and stakeholders to deliver scalable data models and dashboards, and ship LLM-powered features in production.

Qualifications

• 3+ years of experience as a Data Engineer or Software Engineer in a cloud environment.
• Experience building production data pipelines with an orchestrator like Airflow/Cloud Composer and a data warehouse like BigQuery.
• Experience shipping LLM-powered features or pipelines to production with LLM APIs (e.g., Gemini, Claude, OpenAI).

Responsibilities

• Pipeline Orchestration: Lead the development of highly performant, reliable pipelines using Airflow and BigQuery from architecture through testing, deployment, monitoring, and maintenance.
• Data Modeling & Dashboards: Define requirements and design scalable data models and applications; own data products end to end from pipelines to APIs to dashboards.
• AI & Agentic Workflows: Design pipelines using LLMs and agents, including prompts, tool calls, embeddings, and production concerns like retries and latency.
• Continuous Improvement: Improve data infrastructure and processes; evaluate new technologies and best practices; work with AI coding agents daily.
• Other duties as assigned

Skills

Python

SQL

Airflow

BigQuery

GCP

LLM

Data Pipelines

Tools

Cloud Composer

Vertex AI

Job description

Citylitics Inc. in Toronto, ON is seeking a skilled Data Engineer to join our growing team.

You will design, build, and operate production data pipelines that power customer-facing AI-driven solutions, using Python, SQL, Airflow, and BigQuery in a cloud environment. You will collaborate with analysts, product, and stakeholders to deliver scalable data models and dashboards, and ship LLM-powered features in production.