Senior Data Product Engineer, Marketing Customer Profile (all genders)

HelloFresh
Warsaw
Workplace: OnsiteFull timeFunction: Marketing & GrowthSkills: ["Python","PySpark","Kubernetes","Databricks","Airflow","Kafka","AWS","S3","PostgreSQL","SQL","Data pipelines","Data modeling","DevOps","Testing"]

Design and scale the foundational data layer powering personalized marketing and real-world segmentation by integrating diverse data sources into a unified customer view. Optimise a Databricks-based infrastructure to enable AI/ML modeling and real-time activations, collaborating with cross-functional teams (Product, Backend/Frontend, BI) in a modern stack (AWS, Kafka, PySpark, Kubernetes).

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FursaFursa
HelloFresh
HelloFresh
3 months ago

Senior Data Product Engineer, Marketing Customer Profile (all genders)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design and scale the foundational data layer powering personalized marketing and real-world segmentation by integrating diverse data sources into a unified customer view. Optimise a Databricks-based infrastructure to enable AI/ML modeling and real-time activations, collaborating with cross-functional teams (Product, Backend/Frontend, BI) in a modern stack (AWS, Kafka, PySpark, Kubernetes).
Location: Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Marketing & Growth
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and operate end-to-end data pipelines for marketing personalization and segmentation.
  • •Collaborate with Product Owners, Backend/Frontend Engineers, Product Analysts, and BI teams in autonomous agile teams.
  • •Act as a technical expert for software solutions within HelloFresh’s data platform and architecture.
  • •Optimize and maintain Databricks-based infrastructure to power real-time activations and AI/ML workflows.
  • •Ensure data quality, monitoring, and testing standards across the development lifecycle.

Key Requirements

  • •Strong background in data engineering with a focus on writing clean, maintainable Python code.
  • •Proficient in cloud platforms and data technologies such as PySpark and Kubernetes; streaming technologies is a plus.
  • •Skilled in designing scalable data models and working with relational databases (e.g., PostgreSQL) and object stores (e.g., AWS S3)
  • •Basic understanding of Backend Development
  • •Track record of building and optimizing efficient, reliable data pipelines
Experience:Data engineeringAI/ML
Skills:PythonPySparkKubernetesDatabricksAirflowKafkaAWSS3PostgreSQLSQLData pipelinesData modelingDevOpsTesting
Languages:English
Tech Stack:PythonAWSEMRGlueS3KafkaPySparkKubernetesAirflowPrefectTectonDatabricksPostgreSQL

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