This position is for a Data Engineer to help lead the implementation of a Hunkemoller Data Mesh on Google Cloud. You’ll work closely with a team of internal & external engineers to help facilitate and accelerate Hunkemoller’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.
 

Responsibilities:

· Build and Maintain Data Pipelines: Develop and maintain efficient data pipelines using SQL and cloud technologies (GCP), ensuring data quality and reliability.

· Data Integration & Transformation: Assemble and transform large, complex datasets from diverse sources to meet business needs.

· GCP Platform Support: Assist in the design and implementation of our Google Cloud Platform (GCP) infrastructure, focusing on automation, data delivery, and scalability improvements.

· Data Infrastructure: Contribute to building the infrastructure for optimal data extraction, transformation, and loading (ETL).

· Data Analysis Tools: Develop data analytics tools that leverage our data pipelines to generate insights on customer acquisition, operations, and business performance.

· Collaborate with Stakeholders: Partner with Product, Data, and Design teams to resolve technical data issues and support their data infrastructure requirements.

Requirements:

· Strong SQL Proficiency: Proficient in writing complex SQL queries for data manipulation and analysis.

· Object Oriented Programming (OOP): Experience with OOP concepts (Python preferable) and experience applying those principles to data engineering practices.

· Technical Degree: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

· ETL/ELT experience: Practical experience working with ETL/ELT tools and Python. Experience with DBT a plus.

· Code Quality: Proficient in writing clean, well-documented, and tested code.

· GCP Knowledge: Knowledge of the Google Cloud Platform (GCP) is highly advantageous.

· Data Analytics/BI Understanding: Familiarity with Data Science and/or Business Intelligence concepts is a plus.

· Version Control: Experience using Git or other version control system.

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

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 2024, 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!