Senior Data Engineer [GROWTH]

HelloFresh
Toronto
Workplace: HybridFull timeCAD 145,000 - 150,000Function: Marketing & GrowthSkills: ["Solution-oriented","Communication","Problem-solving","Mentorship","Collaboration"]

Own end-to-end delivery of data pipelines for the Growth Alliance, enabling HelloFresh to serve millions globally. Design, build, deploy, and operate scalable data infrastructure using AWS, Kafka, PySpark, Kubernetes, Airflow/Prefect, and platforms like Databricks. Partner with cross-functional agile teams across Data Science/ML and product groups, drive data quality monitoring, mentor teammates, and apply DevOps practices to improve performance and reliability.

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FursaFursa
HelloFresh
HelloFresh
2 days ago

Senior Data Engineer [GROWTH]

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Own end-to-end delivery of data pipelines for the Growth Alliance, enabling HelloFresh to serve millions globally. Design, build, deploy, and operate scalable data infrastructure using AWS, Kafka, PySpark, Kubernetes, Airflow/Prefect, and platforms like Databricks. Partner with cross-functional agile teams across Data Science/ML and product groups, drive data quality monitoring, mentor teammates, and apply DevOps practices to improve performance and reliability.
Location: Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Marketing & Growth
Seniority: Mid level

Key Responsibilities

  • •Own the architecture, design, development, deployment, and operations of data pipelines using DevOps practices.
  • •Collaborate with autonomous cross-functional agile teams across Data Science, ML, product, and BI to deliver customer value optimization outcomes.
  • •Act as an ambassador for software/data solutions, providing support and mentorship to colleagues.
  • •Build with state-of-the-art technologies (AWS EMR/Glue/S3, Kafka, PySpark, Kubernetes, Airflow/Prefect, Tecton, Databricks, and in-house data pipeline tools).
  • •Drive data quality assurance and monitoring, including optimizing pipeline performance and reliability through testing and CI.

Pay and Benefits

Salary: CAD 145,000 - 150,000
Perks:Health InsuranceDentalRetirementPaid LeaveParental LeaveLearning Budget

Key Requirements

  • •Design, implement, and deliver maintainable, high-quality code in Python and SQL.
  • •Hands-on experience with cloud computing and data processing technologies including PySpark, Kubernetes, and Kafka.
  • •Expertise in data modeling, relational databases (e.g., PostgreSQL), object stores (e.g., AWS S3), and data platforms like Databricks.
  • •Proven ability to build efficient, robust end-to-end data pipelines and optimize performance.
  • •Experience with end-to-end development including unit, integration & functional testing, profiling/tuning, and continuous integration.
Experience:E-commerceSubscription-based
Skills:Solution-orientedCommunicationProblem-solvingMentorshipCollaboration
Languages:English
Tech Stack:AWSEMRGlueS3KafkaPySparkKubernetesAirflowPrefectTectonDatabricksPostgreSQLClaude CodePythonSQL

Company Brief

HelloFresh
HelloFresh is a meal-kit and food subscription company that delivers fresh ingredients and recipes to consumers, offering convenient home-cooked meals through weekly subscription boxes across multiple international markets.
Industry: FoodTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn