At Hunkemöller, we're on a journey to become a truly data-driven organization. We believe that data and AI are key to unlocking a deeper understanding of our customers and delivering personalized, engaging experiences. This role is critical to that vision, specifically within our Marketing and CRM domains. We're building a cutting-edge Media Mix Modeling (MMM) solution, and this Data Engineer will be instrumental in its development and long-term ownership. This is more than just building pipelines; it's about shaping how we understand and optimize our marketing investments to drive real business impact.
Responsibilities:
-
Build and Maintain Marketing-Focused Data Pipelines: Develop, maintain, and optimize robust and scalable data pipelines using SQL and Google Cloud Platform (GCP) technologies. These pipelines will ingest, transform, and deliver data from a variety of sources, including digital media platforms, CRM systems, and external data providers, ensuring high data quality and reliability.
-
Media Mix Modeling (MMM) Implementation: Play a key role in the development and implementation of our MMM solution. This includes:
-
Building and maintaining Vertex AI pipelines for automated model training, deployment, and monitoring.
-
Implementing data ingestion and transformation processes to support the MMM's data requirements (e.g., handling adstock, saturation, halo effects, and hierarchical data structures).
-
Ensuring the reproducibility and automaticity of the MMM solution, enabling regular (e.g., monthly) updates.
-
Working with data scientists to ensure code quality, containerization, and adherence to software engineering best practices within the MMM project.
-
Data Integration & Transformation: Assemble and transform large, complex datasets (including time-series data, marketing campaign data, and customer transaction data) from diverse sources to meet the specific needs of the MMM and broader marketing analytics.
-
GCP Platform Support: Contribute to the design, implementation, and maintenance of our Google Cloud Platform (GCP) infrastructure, with a focus on automation, data delivery, and scalability, particularly for marketing and CRM data.
-
Data Infrastructure for Marketing: Build and maintain the infrastructure required for optimal extraction, transformation, and loading (ETL/ELT) of marketing and customer data.
-
Data Analysis Tools for Marketing: Develop data analytics tools and contribute to dashboards that leverage our data pipelines to provide actionable insights on marketing campaign performance, customer acquisition, and overall business performance.
-
Collaborate with Stakeholders: Partner closely with Marketing, CRM, Creative, Product, Data Science, and other teams to understand their data needs, resolve technical data issues, and support their data infrastructure requirements. Proactively identify opportunities to leverage data to improve marketing effectiveness.
-
Data Quality and Governance: Implement data quality checks and alerts to ensure the accuracy and reliability of marketing data.
Requirements:
- Strong SQL Proficiency: Highly proficient in writing complex SQL queries for data manipulation, analysis, and transformation, particularly within a data warehousing environment (e.g., BigQuery).
- Object-Oriented Programming (OOP): Solid experience with OOP concepts (Python strongly preferred) and applying those principles to data engineering practices.
- Technical Degree: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- ETL/ELT Experience: Proven experience working with ETL/ELT tools and Python for building and managing data pipelines. Experience with dbt (data build tool) is a significant plus.
- Cloud Composer (or Airflow): For orchestrating and scheduling data pipelines.
- Dataflow (or Apache Beam): For building batch and streaming data processing pipelines.
- Marketing Data Understanding: Familiarity with marketing data sources (e.g., Google Analytics 4, social media platforms, CRM systems) and key marketing metrics (e.g., impressions, clicks, reach, frequency, ROI, GRPs).
- Data Analytics/BI Understanding: Strong familiarity with Data Science and Business Intelligence concepts, particularly as they relate to marketing analytics.
- Version Control: Experience using Git or other version control systems for collaborative development.
- English Proficiency: Excellent written and verbal English communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.
- Agile: Experience working with a team in an agile environment
Bonus Points:
-
Experience with Media Mix Modeling (MMM) or other marketing attribution models.
-
Familiarity with Bayesian modeling techniques.
-
Experience with incrementality testing frameworks.
- Experience working in the retail industry.
- Vertex AI: For building, deploying, and managing machine learning models, specifically experience building Vertex AI Pipelines.
- Cloud Storage: For storing and managing data.
- IAM: For managing access and permissions.
- Data Modeling: Understanding of data modeling principles, including dimensional modeling and data warehousing concepts. Experience with hierarchical data structures is a plus.
-
GCP Expertise: Hands-on experience with the Google Cloud Platform (GCP), including services like:
-
BigQuery: For data warehousing and large-scale data analysis.
Benefits
-
25 Days of Annual Leave: As a full-time employee, you will receive 25 days of paid holiday each year, with the flexibility to buy or sell up to 4 additional days to meet personal needs.
-
Hybrid Work Model: We offer a flexible hybrid work environment, enabling you to seamlessly balance office and remote work to enhance productivity and work-life balance.
-
Work From Abroad: Take advantage of the opportunity to work remotely from abroad for up to 2 weeks annually.
-
International Work Environment: Join a dynamic, global team that fosters collaboration and cultural diversity, providing you with a rich and inclusive professional experience.
-
Partial Travel Allowance: Benefit from a partial travel allowance to support your commuting costs, ensuring your journey to and from work is more affordable.
-
Hunkemöller Academy: Gain access to our Hunkemöller Academy, offering a wide range of professional development programs to support your career growth and skill enhancement.
-
Employee Discounts: Enjoy a 25% discount on all company products, allowing you to access our offerings at a reduced price.
Hunkemöller Culture:
Hunkemöller strives to be a much loved, social & inclusive brand. A place where people love to work, are proud of the brand, and where we create true brand ambassadors. Working in a passionate, energetic, design-led and performance-driven environment where our key customer persona 'Shero' sits at the heart of everything we do. Hunkemöller is certified TOP EMPLOYER of the Netherlands 2025, which underlines our people initiatives and achievements.
Together Tomorrow – Join a Retailer that's on the move to be better for our planet, better for people, better together! From diversity & inclusion, reducing waste, to product care and how we work with our suppliers, our Together Tomorrow initiative reflects what we do and helps drive change across our business. Ready to help us achieving our ambitious goals? Where ever you'll start working with us, if in Stores or our HQs, you can contribute!
Apply now with your CV or LinkedIn profile only.
We are not looking to work with Recruitment agencies!
This position is for a Data Engineer to help lead the implementation of Hunkemoller's Data Mesh on Google Cloud. You’ll work closely with a team of internal engineers to help facilitate and accelerate Hunkemöller’s data transformation initiatives. The right candidate will be excited by the prospect of playing a key role in designing a new data architecture to support next-generation analytics and data initiatives, with a particular focus on Marketing and CRM.
Similar Jobs
What We Do
Hunkemöller is committed to being a much-loved, social, and inclusive brand. We take pride in creating an environment where people not only love to work but also become true brand ambassadors.
Our purpose and values have undergone a transformation, our purpose is to inspire and empower women to be their most beautiful and authentic selves, together we lift each other up! Our values emphasize what we hold as fundamental to our brand identity: Empowering, Playful, In-touch, Inclusive, Inspiring, and Responsible. With these principles we are shaping our culture, steering our actions and aligning with our expanding dedication to setting industry benchmarks in inclusivity and responsibility through innovative and sustainable initiatives.
With a robust presence spanning over 900 stores across 15 countries, we are on a trajectory of continuous growth. Our commitment to World-Class service is not just a promise but a reflection of our ethos, extending seamlessly across channels and locations, including our upcoming opening of our state-of-the-art Distribution Center in Almere, aimed at stream-lining productivity, and boosting efficiency for our customers.
Hunkemöller proudly holds the prestigious title of TOP EMPLOYER in the Netherlands for 2024, marking seven consecutive years of winning, while Germany maintains a 5-year streak. In Denmark, we are back-to-back winners for the 2nd year, a testament to our unwavering commitment to our people and the utmost care we invest in our employees
