{"id":1898924,"url":"https://alion.io/job/hellofresh-nordics-data-engineer","title":"Data Engineer","company":{"id":1061,"name":"HelloFresh Nordics","domain":"hellofresh.com","url":"https://alion.io/company/hellofresh","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":47,"ghost_share":0,"stale_share":0.638,"repost_share":0.021,"time_to_fill_p50_days":40,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":113000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T07:50:36Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-05T22:56:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"S'more about the team\nAs 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.\nIn 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.\nLettuce share what this role will be responsible for\nDesign, build, and maintain robust batch and streaming data pipelines connecting procurement systems, warehouse management systems (WMS), logistics, fulfillment, forecasting, and customer feedback data.\n\nDevelop real-time data integrations for tracking ingredient inventory levels, order assembly status, and carrier shipment tracking across distribution centers.\n\nPartner 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.\n\nEnsure 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.\n\nCollaborate closely with cross-functional stakeholders in Procurement, Fulfillment Operations, Logistics, and Product to translate physical workflow requirements into robust data infrastructure.\n\nContribute to a collaborative knowledge-sharing environment by providing technical guidance and coaching to team members and operational partners.\n\nSound a-peeling? Here's what we're looking for\nProven track record of scientific or engineering work (Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related technical field).\n\n3+ years of professional experience as a Data Engineer delivering high-impact production pipelines.\n\nFluency in Python, SQL, dbt, and PySpark for building scalable data pipelines on modern cloud infrastructure.\n\nStrong data modeling expertise (dimensional modeling, relational architecture, event-driven streams) applied to physical supply chain or logistics operations.\n\nFamiliarity with software engineering best practices, including Git, CI/CD pipelines, Docker, and cloud platforms like AWS.\n\nExpertise leveraging Generative AI tools (e.g., Claude, GitHub Copilot) to accelerate development, debugging, performance tuning, and documentation.\n\nExceptional communication skills to bridge technical implementation details with warehouse operators, logistics planners, and business stakeholders.\n\nLet’s cut to the cheese, this is why you'll love it here\nBox 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.\nHealth & 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!\nRRSP Matching - Competitive RRSP matching program offered\nVacation & 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. \nFamily Benefits - A parental leave top-up program for expectant parents.\nGrowth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team\nWork Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!\nDiversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.\nFood Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!\nFlexible Hybrid Approach\nAt 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. \nTo 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.\nHelloFresh 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.\nThis is a posting for an existing vacancy. We are actively seeking to fill this position.\n#Engineering\nToronto, ON Pay Range\n$104,000—$119,000 CAD","description_format":"text","description_chars":5610,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Generous vacation","Hybrid work","Parental leave"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Transportation & Logistics","Online Groceries","Prepared Foods"],"lifecycle":[{"event":"open","at":"2026-10-05T09:46:44Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":40,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-06T00:53:59Z"},"pay":null,"html_url":"https://alion.io/job/hellofresh-nordics-data-engineer","json_url":"https://alion.io/job/hellofresh-nordics-data-engineer.json","meta":{"generated_at":"2026-10-06T00:53:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1237,"day_limit":5000,"remaining_today":3763,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1061},"rest":"https://alion.io/mcp/rest/get_company?id=1061"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhellofresh-nordics-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhellofresh-nordics-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhellofresh-nordics-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/hellofresh-nordics-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhellofresh-nordics-data-engineer"}]}