Data Engineer
AI in this role
Build and scale data pipelines and infrastructure to power forecasting and automated decision-making in supply chain operations.
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
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Design, build, and maintain robust batch and streaming data pipelines connecting procurement systems, warehouse management systems (WMS), logistics, fulfillment, forecasting, and customer feedback data.
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Develop real-time data integrations for tracking ingredient inventory levels, order assembly status, and carrier shipment tracking across distribution centers.
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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.
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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.
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Collaborate closely with cross-functional stakeholders in Procurement, Fulfillment Operations, Logistics, and Product to translate physical workflow requirements into robust data infrastructure.
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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
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Proven track record of scientific or engineering work (Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related technical field).
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3+ years of professional experience as a Data Engineer delivering high-impact production pipelines.
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Fluency in Python, SQL, dbt, and PySpark for building scalable data pipelines on modern cloud infrastructure.
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Strong data modeling expertise (dimensional modeling, relational architecture, event-driven streams) applied to physical supply chain or logistics operations.
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Familiarity with software engineering best practices, including Git, CI/CD pipelines, Docker, and cloud platforms like AWS.
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Expertise leveraging Generative AI tools (e.g., Claude, GitHub Copilot) to accelerate development, debugging, performance tuning, and documentation.
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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.
#LI-HYBRID
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 CADHow we rate this
Data Engineer at HelloFresh rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where supply chain analytics was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, ETL, Data Pipelines, Supply Chain Analytics, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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