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Data Engineer

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Hunkemöller

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Location:
Netherlands , Hilversum

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Hunkemöller is looking for a Data Engineer to take a core role in our digital data transformation. This is a fantastic opportunity for a forward-thinking, adaptable data engineering professional to help build our next-generation, cloud-native data platform on GCP.

Job Responsibility:

  • Build Data Pipelines: Develop, test, and maintain robust, scalable data pipelines using SQL, dbt, and cloud technologies (GCP), ensuring high standards of data quality and reliability
  • AI-Augmented Engineering: Actively leverage advanced AI coding assistants and LLMs to accelerate pipeline development, debug complex code, generate documentation, and automate repetitive tasks
  • Collaborate on Data Modeling: Assist in the implementation of scalable data models (e.g., star schemas, data vaults) within our enterprise data warehouse (BigQuery)
  • Develop on GCP: Build and maintain our Google Cloud Platform (GCP) data infrastructure, focusing on automation, security, and performance improvements
  • Collaborate and Learn: Partner with Product, Data, and Design teams to resolve technical data issues. Participate in code reviews and continuously learn and share new engineering best practices
  • Build for Analytics & AI: Build and optimize data platforms that power our BI, Data Science, and AI solutions, ensuring data is accessible, reliable, and ready for analysis

Requirements:

  • Solid Data Engineering Experience: 1 to 3 years of hands-on experience in data engineering, with a strong track record of building data pipelines and working with data warehouse solutions
  • Adaptability & Continuous Learning: A strong desire to learn quickly and adapt to new technologies. You embrace modern development practices and are comfortable using AI tools as a force multiplier in your daily work
  • Strong SQL Proficiency: Advanced skills in writing, optimizing, and debugging complex SQL queries for data manipulation and analysis
  • Cloud & Data Warehousing: Solid knowledge of cloud data services, preferably on Google Cloud Platform (BigQuery, Dataflow, etc.)
  • Programming & Frameworks: Experience with Python and applying software engineering principles to data solutions. Hands-on experience with dbt is highly preferred
  • Code Quality & Version Control: Proficient in writing clean, well-documented, and tested code, with strong experience using Git and CI/CD workflows
  • English Proficiency: Excellent written and verbal English communication skills
What we offer:
  • 25 days of annual leave, with the option to buy or sell up to 4 additional days
  • Hybrid work model, combining office and remote working
  • Possibility to work from abroad for up to 2 weeks per year
  • An international work environment, working with teams across different countries
  • Travel allowance to support commuting costs
  • Access to the Hunkemöller Academy for professional development
  • 25% employee discount on all Hunkemöller products

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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