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Added 8 mins ago
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Added 22 mins ago
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Added 22 mins ago
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HelloFresh

Data Engineer

Toronto, ON, Canada

$104,000 - $119,000 CAD · Full-time

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Applications open in a new tab.

Job details

Pay: $104,000 - $119,000 CAD
Job type: Full-time
Apply by: Nov 4, 2026
Experience: 3+ years of professional experience as a Data Engineer delivering high-impact production pipelines.
Posting language: English
Posted: Oct 5, 2026

Original job description

S'more About The Team

As a Data Engineer in Supply Chain Operations, you will take technical ownership of the end-to-end data lifecycle - spanning system architecture, pipeline design, production development, and continuous operations. You will build and scale high-throughput batch and real-time streaming data pipelines that harmonize data streams across menu planning, forecasting, procurement, fulfillment, and logistics.

In this role, you play a critical part in driving operational efficiency, cost optimization, and supply chain scalability by ensuring our global data infrastructure is performant, resilient, and mission-critical. Partnering closely with Data Scientists, Operations Analysts, and SCM stakeholders, you will model complex physical domain entities and engineer robust data assets that power real-time tracking, analytics, and automated decision-making across HelloFresh's operational business processes.

Lettuce Share What This Role Will Be Responsible For

Design, build, and maintain robust batch and streaming data pipelines connecting procurement systems, warehouse management systems (WMS), logistics, fulfillment, forecasting, and customer feedback data.
Develop real-time data integrations for tracking ingredient inventory levels, order assembly status, and carrier shipment tracking across distribution centers.
Partner with Data Scientists and Operations Analysts to operationalize demand forecasting models, track inventory accuracy, and monitor key business metrics like cost per box or fulfillment error rates.
Ensure high data quality, freshness, and lineage tracking for operational dashboards, executive KPIs, and automated alertsWork with modern cloud data technologies such as AWS (S3, EMR, Glue), Databricks, Snowflake, Apache Spark/PySpark, Kafka, and Airflow.
Collaborate closely with cross-functional stakeholders in Procurement, Fulfillment Operations, Logistics, and Product to translate physical workflow requirements into robust data infrastructure.
Contribute to a collaborative knowledge-sharing environment by providing technical guidance and coaching to team members and operational partners.

Sound a-peeling? Here's what we're looking for

Proven track record of scientific or engineering work (Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related technical field).
3+ years of professional experience as a Data Engineer delivering high-impact production pipelines.
Fluency in Python, SQL, dbt, and PySpark for building scalable data pipelines on modern cloud infrastructure.
Strong data modeling expertise (dimensional modeling, relational architecture, event-driven streams) applied to physical supply chain or logistics operations.
Familiarity with software engineering best practices, including Git, CI/CD pipelines, Docker, and cloud platforms like AWS.
Expertise leveraging Generative AI tools (e.g., Claude, GitHub Copilot) to accelerate development, debugging, performance tuning, and documentation.
Exceptional communication skills to bridge technical implementation details with warehouse operators, logistics planners, and business stakeholders.

Let’s cut to the cheese, this is why you'll love it here

Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
RRSP Matching - Competitive RRSP matching program offered
Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
Family Benefits - A parental leave top-up program for expectant parents.
Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

#Engineering

Toronto, ON Pay Range

$104,000 - $119,000 CAD

Apply About employer

More about this job

Responsibilities

Design, build, and operate scalable batch and streaming data pipelines that integrate supply chain data across procurement, warehousing, fulfillment, forecasting, and logistics. Ensure data quality, freshness, and lineage while partnering with technical and operational teams to support analytics, real-time tracking, and automated decision-making.

Requirements

Requires at least 3 years of professional data engineering experience and a degree in computer science, software engineering, or a related technical field. Candidates should be proficient in Python, SQL, dbt, and PySpark; have experience with data modeling, cloud platforms, and software engineering practices; and communicate effectively with technical and business stakeholders.

Skills

Python
SQL
Dbt
PySpark
Data Pipeline Engineering
Batch Processing
Real-Time Streaming
Data Modeling
AWS
Apache Spark
Kafka
Airflow
Databricks
Snowflake
Docker
CI/CD

Benefits

Meal Kit Discounts
Health Insurance
Dental Insurance
Health Spending Account
Headspace App Access
Fitness Membership Discount
RRSP Matching
Paid Vacation
Paid Time Off
Parental Leave Top-Up
Learning And Development
Flexible Hybrid Work

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Supply Chain Operations
Batch Data Pipelines
Streaming Data Pipelines
Real-Time Data Integration
Procurement
Warehouse Management Systems
Logistics
Fulfillment
Demand Forecasting
Inventory Accuracy
Data Quality
Data Freshness
Data Lineage
Dimensional Modeling
Relational Architecture
Event-Driven Streams
Python
SQL
Dbt
PySpark
AWS
Amazon S3
Amazon EMR
AWS Glue
Databricks
Snowflake
Apache Spark
Kafka
Airflow

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