Remote opportunity at
HelloFreshData Engineer
HelloFresh is seeking a Data Engineer to join its Supply Chain Operations team in a full-time, remote capacity based out of Toronto, ON. This position involves…
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About This Role
HelloFresh is seeking a Data Engineer to join its Supply Chain Operations team in a full-time, remote capacity based out of Toronto, ON. This position involves managing the complete data lifecycle, which includes designing system architecture, creating pipeline workflows, and handling production development. The chosen professional will build and scale both batch and real-time streaming pipelines to unify data across procurement, menu planning, forecasting, fulfillment, logistics, and warehouse management systems.…
Job Description
HelloFresh is seeking a Data Engineer to join its Supply Chain Operations team in a full-time, remote capacity based out of Toronto, ON. This position involves managing the complete data lifecycle, which includes designing system architecture, creating pipeline workflows, and handling production development. The chosen professional will build and scale both batch and real-time streaming pipelines to unify data across procurement, menu planning, forecasting, fulfillment, logistics, and warehouse management systems. By modeling physical domain entities and supplying reliable data assets, this individual will enable real-time tracking, reporting, and automated decision-making. The role requires close cross-functional collaboration with Data Scientists, Operations Analysts, and stakeholders in procurement and logistics to support cost optimization and operational efficiency. The salary range for this position is set between $104,000 and $119,000 CAD. While the role features remote flexibility, HelloFresh operates on a flexible hybrid model requiring a minimum of two days in the office per week.
Responsibilities
- Design and maintain batch and streaming data pipelines connecting procurement, warehouse management, logistics, fulfillment, and forecasting systems
- Build real-time integrations to monitor ingredient inventory levels, order status, and carrier tracking across distribution centers
- Collaborate with Data Scientists and Operations Analysts to operationalize demand forecasting models and track inventory accuracy
- Monitor operational metrics such as fulfillment error rates and cost per box
- Maintain data quality, freshness, and lineage for executive dashboards and automated alerts
- Translate physical workflow requirements into data infrastructure alongside cross-functional partners
Requirements
- At least three years of professional experience as a Data Engineer delivering production pipelines
- Proficiency in Python, SQL, dbt, and PySpark for constructing scalable data architectures
- Experience applying data modeling techniques such as dimensional modeling, relational architecture, and event-driven streams to physical supply chain or logistics operations
- Familiarity with software engineering tools and practices including Git, CI/CD, Docker, and AWS
- Ability to utilize Generative AI tools like Claude and GitHub Copilot for development, debugging, and documentation
- Communication skills suitable for interacting with warehouse operators, logistics planners, and business stakeholders
Qualifications
- Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related technical field
Core Skills
Benefits
- Discounts on weekly meal kits including 75 percent off HelloFresh and Chefs Plate boxes and 50 percent off Factor meal boxes
- Health and dental benefits starting on day one
- Health Spending Account
- Unlimited access to the Headspace app
- 25 percent discount on GoodLife fitness memberships
- Competitive RRSP matching program
- Generous vacation and paid time off
- Parental leave top-up program for expectant parents
- Career progression support and learning and development initiatives
- Company socials and team days
Frequently Asked Questions
Is this position remote?
The posting indicates the role is remote with a flexible hybrid approach, requiring a minimum of two days in the office per week, typically ranging between two and three days.
What is the salary range for the Data Engineer role?
The pay range for this position is $104,000 to $119,000 CAD.
What level of experience is required?
Candidates must have at least three years of professional experience as a Data Engineer delivering high-impact production pipelines, alongside a degree in Computer Science, Software Engineering, or a related technical field.
What cloud technologies and tools will be used?
The role utilizes technologies such as AWS including S3, EMR, and Glue, Databricks, Snowflake, Apache Spark, PySpark, Kafka, Airflow, Python, SQL, and dbt.
Sample Interview Questions
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