Data EngineerWe'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 OverviewAs Data Engineer, you'll own the data platform at Heylist. You'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 Responsibilities1. Ingestion & PipelinesDesign and build data pipelines from internal systems and external APIs (Meta, TikTok, and others)Own reliability, monitoring, and freshness of ingestion workflowsStandardize connectors and shared ingestion patterns2. Warehouse & ModelingOwn the data warehouse: schema design, transformations, quality, and freshnessBuild and evolve semantic models for analytics and product featuresImprove query performance and cost characteristics3. Data Services & ProductionizationBuild data services and APIs that power in-product features and analyticsPartner with Data Science to productionize features and modelsContribute to cloud infrastructure and deployment on Microsoft Azure4. Quality, Governance & OpsSet standards for data quality, testing, and observabilityEstablish governance practices for sensitive dataSupport incident response and continuous improvementWhat You'll OwnThe data platform: ingestion, warehouse, and servicesData quality, freshness,



and reliability standardsData foundations that unlock product features and analyticsRequirements5+ years of Data Engineering experience in SaaS or high-volume data environmentsStrong Python and SQL skillsExperience designing and operating data warehouses and ETL/ELT pipelinesComfort with cloud infrastructure (Microsoft Azure)Experience with relational databases (Postgres) and modern data toolingFluent in English; French is a strong assetNice to HaveOrchestration tools (Airflow, Dagster, or similar)Streaming and event-driven architecturesdbt and modern warehouse platforms (Snowflake, BigQuery)Terraform and IaCSuccess MetricsPipeline reliability and data freshnessData quality and incident ratesSpeed at which new sources and models are onboardedAdoption of shared datasets across the companyAbout HeylistHeylist 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 at home. Our 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 straightforward: 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-beingHealth & 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. #J-18808-Ljbffr

📌 Data Engineer Data Science Flexible Apply (Montreal)
🏢 Heylist
📍 Montreal