Design and own the end-to-end data platform for APEX, including ingestion, transformation, and reporting layers.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Design the Bronze/Silver/Gold data flow for the new Genesys A3S Snowflake and Verint sources, with clear standards for ingestion, transformation, validation, and consumption.
Define ingestion cadence and watermarking strategy per source, based on each source's true data freshness.
Design the Gold-layer Kimball star schema (facts, dimensions, grain, SCD Type I/II) to support sales, telephony, agent activity, and quality reporting.
Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns based on source characteristics, volumes and performance needs.
Build and optimize Databricks and Delta Lake pipelines, and set cost and performance practices for cluster sizing, job versus all-purpose compute, and Photon.
As a Senior BI Analyst in the Reporting & BI team, you will be the owner of HelloFresh's data landscape for your domain, building and maintaining data infrastructure, ETL pipelines, and executive-level dashboards.
Compensation
$82,000—$92,000 CAD
Responsibilities
Design, develop, and maintain ETL/ELT pipelines using dbt, Databricks, Spark SQL, and Airflow
Implement automated data quality checks, monitoring, and alerting to proactively catch issues
Write performant, maintainable SQL for large-scale data transformations
Build and maintain executive-level BI dashboards (Tableau, Databricks)
Own critical business reporting (WBRs, QBRs, forecasting) and act as the trusted analytics partner across Product, Marketing, Finance, and Operations
Senior BI Analyst responsible for owning and maintaining HelloFresh’s data landscape, building ETL pipelines, data models, and executive dashboards to support decision‑making across the organization.
Compensation
$82,000—$92,000 CAD
Responsibilities
Design, develop, and maintain ETL/ELT pipelines using dbt, Databricks, Spark SQL, and Airflow
Act as steward of domain data landscape implementing automated quality checks and monitoring
Write performant SQL for large‑scale data transformations
Build and maintain executive‑level BI dashboards (Tableau, Databricks)
Own critical business reporting and act as analytics partner across Product, Marketing, Finance, and Operations
Lead Data Engineer / Data Product Lead – Snowflake
Compensation
Pay Rate: C$60.00–C$80.00 / Hour (CAD)
Responsibilities
Own one or more enterprise data products across architecture, design, development, testing, deployment, and ongoing enhancement.
Design and build scalable data solutions using Databricks, PySpark, Spark SQL, Delta Lake, and Python.
Contribute to architecture across data ingestion, transformation, medallion/lakehouse layers, semantic models, data quality, lineage, and downstream consumption.
Partner with Product Owners, architects, business stakeholders, analytics teams, and engineering leads to translate requirements into scalable technical solutions.
Design reusable and modular data models that support evolving reporting and analytical requirements.
Design the end-to-end data platform for APEX, ingesting contact centre telephony and quality data, and delivering it through a Bronze/Silver/Gold architecture on Databricks into a Kimball-style reporting layer.
Locations (2)
Mississauga, Ontario, Canada
Toronto, Ontario, Canada
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Design the Bronze/Silver/Gold data flow for the new Genesys A3S Snowflake and Verint sources, with clear standards for ingestion, transformation, validation, and consumption.
Define ingestion cadence and watermarking strategy per source, based on each source's true data freshness.
Design the Gold-layer Kimball star schema (facts, dimensions, grain, SCD Type I/II) to support sales, telephony, agent activity, and quality reporting.
Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns based on source characteristics, volumes and performance needs.
Design the end-to-end data platform for APEX, ingesting contact centre telephony and quality data, and delivering it through a Bronze/Silver/Gold architecture on Databricks into a Kimball-style reporting layer.
Locations (2)
Etobicoke, Ontario, Canada
Toronto, Ontario, Canada
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Design the Bronze/Silver/Gold data flow for the new Genesys A3S Snowflake and Verint sources
Define ingestion cadence and watermarking strategy per source
Design the Gold-layer Kimball star schema to support sales, telephony, agent activity, and quality reporting
Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns
Build and optimize Databricks and Delta Lake pipelines
Build and optimize Databricks and Delta Lake pipelines, and set cost and performance practices for cluster sizing, job versus all-purpose compute, and Photon.
Senior BI Analyst, Reporting & BI (m/f/x)HelloFresh · Toronto, Canada
Senior BI Analyst, Reporting & BI (m/f/x)HelloFresh · Toronto, Canada