About Us:
We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.
One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here.
Marketing Data Engineer
The Team
This position will form part of the Digital Consumer Operations team, which is responsible for all digital consumer operations, with a mission to help deliver best-in-class digital experiences across all markets and DTC channels. This team plays a critical role in providing the insights, tools and capabilities needed to drive commercial growth, consumer engagement and retention through excellence in customer experience, digital product development, and eCommerce and consumer analytics. This team collaborates across multiple functions, including the Brand teams, global and regional IT and the Global Analytics team to enhance the digital consumer experience, providing each brand with data-driven actionable insights to inform their strategy, commercial priorities and roadmaps.
The Position
As Marketing Data Engineer, you will play a key role in building and maintaining the data infrastructure that enables marketing analytics, campaign optimization, personalization, and automation across PVH EMEA’s digital channels. You will develop robust ETL pipelines, design efficient data models, and build integrations with a range of first- and third-party platforms. Your work will empower marketing, CRM, and analytics teams to measure performance, create intelligent segments, and execute data-driven campaigns at scale.
Key Responsibilities:
1. Data Integration & ETL
Ingest multi-channel data from platforms like Google Ads, Facebook Ads, Marketo, and CRM tools into centralized data environments.
Design and maintain ETL pipelines using tools like Airflow, dbt, or AWS Glue to ensure clean, timely, and analytics-ready data.
Ensure seamless connectivity across clickstream, transactional, and campaign data sources.
2. Data Modeling & Schema Design
Create scalable, query-optimized data models using star/snowflake schemas tailored for marketing and performance analysis.
Implement slowly changing dimensions for evolving customer attributes.
Optimize data storage using partitioning, clustering, and file formats such as Parquet or ORC.
3. Analytics & Reporting Automation
Enable automated dashboards and reports in tools such as Looker, Tableau, or Power BI.
Surface key marketing KPIs such as CAC, ROAS, LTV, and campaign performance metrics.
Build end-to-end automated data workflows to ensure stakeholders always have access to the latest insights.
4. Personalization & Segmentation
Develop customer segments based on behavioral, transactional, and engagement data.
Feed segments into personalization and campaign platforms for real-time targeting.
Support machine learning features such as recency/frequency/monetary scoring.
5. Data Quality & Governance
Establish monitoring for pipeline reliability, schema evolution, and data accuracy.
Define lineage and ownership to ensure full transparency of data sources and uses.
Implement privacy compliance rules for GDPR and CCPA in collaboration with Legal and Privacy teams.
6. Collaboration & Enablement
Translate marketing stakeholder requirements into technical data solutions and reporting logic.
Document pipeline processes, data definitions, and troubleshooting procedures.
Support non-technical users in SQL querying and data interpretation through training and coaching.
Note: Responsibilities include, but are not limited to, those listed above. The role may require additional tasks and duties as assigned to meet the needs of the department and organization.
Measures of Success
High reliability and performance of marketing data pipelines
On-time delivery of key datasets, dashboards, and reporting tools
Increased adoption and satisfaction from marketing and CRM stakeholders
Improved accuracy and speed in reporting of key marketing KPIs
Clear documentation, reduced troubleshooting time, and increased team self-sufficiency
Ideal candidate
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, or related field
3–5 years of experience as a Data Engineer, preferably in a marketing or eCommerce setting
Strong experience with ETL tools (Airflow, dbt, AWS Glue) and SQL development
Hands-on experience with cloud data platforms (e.g., AWS, GCP, Snowflake)
Proficiency in scripting languages (e.g., Python) for pipeline automation
Solid understanding of data modeling, schema design, and data warehouse best practices
Familiarity with marketing platforms (Google Ads, Facebook Ads, Salesforce/Marketo) and analytics tools (Looker, Tableau, Power BI)
Knowledge of GDPR, CCPA, and privacy-compliant data handling
Strong communication skills and a collaborative, solution-oriented mindset
Experience working in agile or fast-paced digital organizations is a plus
Fluency in English (written and spoken)
Behaviors
At PVH, how we act is as important as what we do. Here are some key behaviors we expect from our people:
ENTERPRISE FIRST – we act in the best interests of PVH and its consumers beyond our own team, brand, region or market.
DRIVE CHANGE – we lead by example and are optimistic about change . We challenge the status quo but fully commit once a decision is made.
CREATE CLARITY – we are diligent in providing context and setting our priorities so we can be productive quickly.
INSPIRE TRUST – we create safe spaces for debate and deliver on what we promise so people can learn to depend on us.
TAKE ACCOUNTABILITY – we focus on work with the biggest business impact and give candid feedback to each other.
Your Wellbeing is Our Priority
In the heart of Amsterdam, PVH is home to the global headquarters of Tommy Hilfiger and the European offices of Calvin Klein.
Wellbeing: exclusive onsite gym and fitness classes, personal training, meditation studio, sports clubs, in-house physio, and receive access to our nutritional and wellbeing programs
Campus: extensive food and beverage offerings, top-notch restaurant, barista coffee bars, sky bar, monthly social events, weekly Thursday drinks, game nights, and campus-themed activities that will keep your social life busy
Develop your career: whether you lead a team or contribute your own expertise, everyone is a leader at PVH. PVH University curates and delivers training programs for you to continuously develop your professional and personal goals
Be at the forefront: stay closely connected to our brands, CALVIN KLEIN and TOMMY HILFIGER, and be a part of seasonal market launches, sample sales and receive employee discounts!
Check out our Amsterdam Campus here.
PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential.
