Cloud Data Engineer

Hunkemöller is looking for a Cloud 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 and scale the ingestion and infrastructure backbone of our next-generation data platform on GCP.

The Role

This position is tailored for a Data Engineer who loves the "plumbing" of data—connecting APIs, orchestrating workflows, and moving data seamlessly between systems. You will own our upstream ingestion framework, manage our Google Cloud infrastructure (Cloud Composer, Dataflow, Cloud Run), and power our Reverse ETL processes to ensure our operational systems have the data they need.

Responsibilities:

• Build Ingestion Pipelines: Design, develop, and deploy robust data ingestion pipelines from various third-party APIs, webhooks, and source systems into Google Cloud.

• AI-Augmented Engineering: Actively leverage advanced AI coding assistants to accelerate pipeline development, generate boilerplate API connection code, debug complex scripts, and automate repetitive tasks.

• GCP Infrastructure & Orchestration: Build and manage data workflows using Cloud Composer (Airflow), and leverage Cloud Run and Dataflow for scalable, containerized data processing.

• Drive Reverse ETL: Architect and maintain the data pipelines that push refined data from BigQuery back into our operational platforms (marketing tools, CRM, etc.) to drive business action.

• Manage Operational Databases: Utilize Firestore and other NoSQL/relational databases to support operational data needs and microservices.

• Collaborate and Learn: Partner with our data modeling specialist to ensure smooth handoffs between ingestion and transformation. Participate in code reviews and continuously share new engineering best practices.

Requirements:

• Core Data Engineering Experience: 3 to 5 years of hands-on experience in data engineering, with a strong focus on data integration, APIs, and pipeline architecture.

• AI Adaptability & Continuous Learning: A strong desire to learn quickly and adapt to new technologies. You embrace modern development practices and are highly comfortable using AI tools as a force multiplier in your daily work.

• API Integration & Python: Strong Python programming skills with a proven track record of building custom API extractors, handling pagination, rate limiting, and working with REST/GraphQL endpoints.

• GCP Service Expertise: Hands-on experience with Google Cloud Platform's ecosystem, specifically Cloud Composer, Dataflow, Cloud Run, and Firestore.

• Code Quality & CI/CD: Proficient in writing clean, well-documented, and tested code (e.g., pytest), with strong experience using Git, Docker, and CI/CD pipelines.

• Bonus Skills (Nice to Have): Experience managing Infrastructure as Code (specifically Terraform) or working with downstream data transformation tools (dbt).

• Living in the Netherlands: Please note that due to the urgency of the role, we are only considering candidates who are already living in the Netherlands.

• English Proficiency: Excellent written and verbal English communication skills.

We offer you

• Hybrid work: Benefit from the flexibility of working from home. We have a 60:40 policy based on your working hours.

• Buy & sell days: Every year in April, you will be eligible to buy or sell additional vacation days.

• Hunkemoller Academy: Continuous learning opportunities and professional growth are supported through various training programs and workshops.

• 25 holidays: You will get 25 holidays per annum, based on a fulltime role.

• 25-55% staff discount: As part of the brand, you will receive a discount of 25% on all Hunkemoller products. On some Mondays we have an additional sale on our newest collections. On top of the 25% discount, you will receive an additional 25 - 35% discount.

• Work from abroad: Get the opportunity to work from abroad for up to 2 weeks.

We believe in an "AI-first" development approach. We are looking for an agile learner who leverages modern AI tools (like Gemini, Claude, and Copilot) alongside strong Python and GCP engineering skills to accelerate development and creatively solve complex integration challenges.

We want to enable seamless, innovative, and secure technology solutions that support the business in sustainable growth, empower employees, and enhance the customer experience. Our mission is to align IT capabilities with business objectives, in an ever-evolving retail landscape to come to data driven decisions.