Data Engineer Data Flexible Apply

Heylist; Montreal; Híbrido; CAD 120.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health & retirement benefits

Equity stock options

Tools provided by the company

Flexible paid time off

Descripción de la vacante

Heylist is seeking a rigorous Data Engineer to build the data foundation powering our platform, models, and analytics. You will design and operate ingestion pipelines, the data warehouse, and data services that convert raw creator, campaign, and social data into strategic insights.

You will collaborate with Data Science and Product to power features and analytics, while upholding reliability, quality, and governance at scale. This role offers a flexible location with hybrid work options.

Formación

• 5+ years of Data Engineering experience in SaaS or high-volume data environments.
• Strong Python and SQL skills.
• Experience with data warehouses and ETL/ELT pipelines.
• Comfort with cloud infrastructure (Azure).
• Experience with PostgreSQL and modern data tooling.
• Fluent in English; French is a strong asset.

Responsabilidades

• Ingestion & pipelines: design/build data pipelines from internal systems and APIs.
• Warehouse & modeling: own data warehouse schema and transformations.
• Data services & productionization: build data services and APIs powering features.
• Quality, governance & ops: establish data quality, testing, and observability.

Conocimientos

Python

SQL

Data pipelines

Data modeling

English fluency

Problem solving

Herramientas

Microsoft Azure

PostgreSQL

dbt

Airflow

Descripción del empleo

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 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 Responsibilities

1. Ingestion & Pipelines

• Design and build data pipelines from internal systems and external APIs (Meta, TikTok, 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 productionize 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, BigQuery)
• 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 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 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.