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Marketing Data Engineer

Brand builders focused on Calvin Klein and Tommy Hilfiger, positioning PVH as one of the best-performing brand groups in the fashion sector.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Consumer · E-Commerce

Job Description

PVH, the global powerhouse behind Calvin Klein and TOMMY HILFIGER, is seeking a Marketing Data Engineer to join their Digital Consumer Operations team in Amsterdam. This role is crucial in building and maintaining the data infrastructure that powers marketing analytics, campaign optimization, and personalization across PVH EMEA's digital channels.

The position combines technical expertise in data engineering with business impact in the fashion and e-commerce space. You'll be working with modern data tools and technologies to create robust ETL pipelines, design efficient data models, and build integrations with various marketing platforms. The role requires both technical depth in data engineering and the ability to collaborate with marketing and analytics teams.

Located in PVH's Amsterdam headquarters, you'll be part of a dynamic environment that emphasizes both professional growth and personal wellbeing. The campus offers extensive amenities including fitness facilities, diverse dining options, and regular social events. The company strongly values inclusion and diversity, creating an environment where every individual is valued.

The ideal candidate will bring 3-5 years of data engineering experience, strong technical skills in Python and SQL, and familiarity with modern data platforms and marketing technologies. This role offers the opportunity to directly impact the digital transformation of one of the world's leading fashion companies while working in a collaborative, innovation-driven environment.

Success in this role means delivering reliable data pipelines, enabling data-driven marketing decisions, and empowering teams across the organization with accurate, timely insights. The position offers exposure to enterprise-scale data challenges while working with some of fashion's most iconic brands.

Last updated a month ago

Responsibilities For Marketing Data Engineer

  • Design and maintain ETL pipelines using tools like Airflow, dbt, or AWS Glue
  • Create scalable data models using star/snowflake schemas for marketing analysis
  • Enable automated dashboards and reports in tools like Looker, Tableau, or Power BI
  • Develop customer segments based on behavioral, transactional, and engagement data
  • Establish monitoring for pipeline reliability and data accuracy
  • Implement privacy compliance rules for GDPR and CCPA
  • Support non-technical users in SQL querying and data interpretation

Requirements For Marketing Data Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Analytics, or related field
  • 3-5 years of experience as a Data Engineer
  • Strong experience with ETL tools and SQL development
  • Hands-on experience with cloud data platforms
  • Proficiency in scripting languages (e.g., Python)
  • Solid understanding of data modeling and data warehouse best practices
  • Knowledge of GDPR, CCPA, and privacy-compliant data handling
  • Fluency in English (written and spoken)

Benefits For Marketing Data Engineer

Medical Insurance
  • Exclusive onsite gym and fitness classes
  • Personal training
  • Meditation studio
  • Sports clubs
  • In-house physio
  • Nutritional and wellbeing programs
  • Extensive food and beverage offerings
  • Top-notch restaurant
  • Barista coffee bars
  • Professional development through PVH University
  • Employee discounts

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