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Data Engineer Data

Job in Montreal, Montréal, Province de Québec, G4F, Canada
Listing for: Heylist
Full Time, Part Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 130000 CAD Yearly CAD 130000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer Data Flexible Apply
Location: Montreal

Data Engineer  We're looking for a rigorous, product-minded Data Engineer to build the data foundation that powers our platform, models, and insights. You'll design and operate the pipelines, warehouses, and services that turn raw creator, campaign, and social data into a strategic asset.
Experience 5 + Years Job type Full Time Location Flexible Language English / French Salary ~$130,000 CAD

Role Overview  As Data Engineer, you'll own the data platform 'll design and build ingestion pipelines, model our data warehouse, ship internal data services, and partner with Data Science and Product to power features and analytics. You'll set the standard for reliability, quality, and governance as we scale.

Key Responsibilities   1. Ingestion & Pipelines
Design and build data pipelines from internal systems and external APIs (Meta, Tik Tok, and others)
Own reliability, monitoring, and freshness of ingestion workflows
Standardize connectors and shared ingestion patterns
2. Warehouse & Modeling
Own the data warehouse: schema design, transformations, quality, and freshness
Build and evolve semantic models for analytics and product features
Improve query performance and cost characteristics
3. Data Services & Productionization
Build data services and APIs that power in-product features and analytics
Partner with Data Science to product ionize features and models
Contribute to cloud infrastructure and deployment on Microsoft Azure
4. Quality, Governance & Ops
Set standards for data quality, testing, and observability
Establish governance practices for sensitive data
Support incident response and continuous improvement
What You'll Own   The data platform: ingestion, warehouse, and services
Data quality, freshness, and reliability standards
Data foundations that unlock product features and analytics
Requirements   5+ years of Data Engineering experience in SaaS or high-volume data environments
Strong Python and SQL skills
Experience designing and operating data warehouses and ETL/ELT pipelines
Comfort with cloud infrastructure (Microsoft Azure)

Experience with relational databases (Postgres) and modern data tooling
Fluent in English;
French is a strong asset
Nice to Have   Orchestration tools (Airflow, Dagster, or similar)
Streaming and event-driven architectures
dbt and modern warehouse platforms (Snowflake, Big Query)
Terraform and IaC
Success Metrics   Pipeline reliability and data freshness
Data quality and incident rates
Speed at which new sources and models are onboarded
Adoption of shared datasets across the company
About Heylist  Heylist is transforming how brands and creators collaborate. Our platform helps marketers identify the right creators, streamline campaign management, and measure results with confidence. We partner with leading global brands and are building the go-to solution for data-driven creator marketing.
We're a fast-growing, venture-backed team fueled by curiosity, creativity, and execution. If you thrive in high-velocity environments and want to shape the future of the creator economy, you’ll feel right  Core Values Trust is how people grow ideas, communities, and brands. We believe the future belongs to those who empower human creativity, earn trust, and create opportunities together.
At Heylist, we're reimagining how consumers and marketing collaborate. We're helping brands activate trusted communities, transform customers into creators, and make social marketing an always-on engine for growth.
Our goal is simple: help every brand grow through the people who trust it most.
One Be curious. Understand deeply.
Two Cancel the noise. Simplify complexity.
Three Be optimistic. Find the opportunity.
Four Be useful. Help others win.
Five Pursue excellence. Make good great.
Six Stay relentless. Deliver results.
Seven Be proud. As a team.
Benefits & Well-being   Health & wellness Group insurance coverage and retirement savings contributions.
Equity & ownership Stock option plan to grow with the company.
Work tools Essential work tools covered by the company.
Flexible paid time off Flexible paid days for illness or family obligations.
Inclusion & diversity  A diverse and inclusive environment where everyone is empowered to contribute.
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