Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Rotterdam, NLD
In-Office
Senior level
Software • Automation • Manufacturing
The Role
Design, develop, and optimize scalable data pipelines, ETL/ELT workflows, data models, databases, warehouses, and cloud data platforms. Ensure data quality, validation, monitoring, governance, and reliability while integrating multiple sources. Collaborate with Data Science and business stakeholders to prepare datasets for analytics and machine learning, troubleshoot pipeline issues, and continuously improve data infrastructure and engineering practices.
Summary Generated by Built In

Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.

We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours?


Position Overview

We are looking for a Data Engineer to join our EMEA IT team in Rotterdam. Reporting to the Head of Data Science, you will play a key role in developing, maintaining and optimising our data infrastructure and pipelines, helping create reliable data foundations for analytics, data science and wider business decision-making.


You’ll work closely with Data Science and stakeholders across the business, integrating data from multiple sources and making sure it is accessible, well-structured and ready to support advanced analytics and machine learning.


What You’ll Be Doing

  • Designing, developing and maintaining scalable data pipelines across multiple internal and external data sources.
  • Developing and optimising ETL/ELT processes and automated data workflows.
  • Building and maintaining reliable data models and structured datasets for analytics and data science.
  • Maintaining and improving data platforms, databases, data warehouses and cloud-based services.
  • Implementing data validation, monitoring and quality controls to improve data accuracy and reliability.
  • Working closely with Data Science to prepare and optimise datasets for advanced analytics and machine learning.
  • Troubleshooting pipeline failures, data integrity issues and performance challenges.
  • Collaborating with technical and business stakeholders to translate data requirements into effective engineering solutions.
  • Continuously improving our data infrastructure, tooling and engineering practices. 

What We’re Looking For

  • A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, Data Science, Information Systems or a related technical discipline. Equivalent professional experience may also be considered.
  • Typically 4–6 years of relevant experience in data engineering, software engineering or a closely related technical role.
  • Strong programming skills in Python and SQL.
  • Hands-on experience developing and managing ETL/ELT pipelines and automated data workflows.
  • Experience with relational databases, data warehousing and data modelling.
  • Familiarity with cloud-based data platforms such as AWS, Azure or Google Cloud.
  • Experience working with APIs and integrating data from different systems and sources.
  • Experience with version control tools such as Git.
  • Familiarity with orchestration and workflow automation tools such as Airflow, Dagster or similar.
  • A good understanding of data quality, governance, security and modern data engineering practices.
  • Strong analytical and problem-solving skills with the ability to collaborate across technical and business teams.

Why Hunter Douglas?

  • Direct impact on product cost, value, and profitability
  • Work on physical, high-volume products used by millions across Europe
  • International collaboration within a global, product-driven organization

 

If this sounds like you, we would love to hear from you. Please apply by submitting your CV.


At Hunter Douglas, you’ll be part of a forward-thinking team committed to excellence, with the opportunity to build the data foundations that support smarter, data-driven decision-making across our business.

By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text “STOP” to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, https://www.hunterdouglas.com/privacy-policy or terms of use https://www.hunterdouglas.com/terms-of-use

Skills Required

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Data Science, Information Systems, or a related technical discipline; equivalent professional experience may be considered.
  • Typically 4–6 years of relevant experience in data engineering, software engineering, or a closely related technical role.
  • Strong programming skills in Python and SQL.
  • Experience developing and managing ETL/ELT pipelines and automated data workflows.
  • Experience with relational databases, data warehousing, and data modeling.
  • Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud.
  • Experience working with APIs and integrating data from different systems and sources.
  • Experience with version control tools such as Git.
  • Familiarity with orchestration and workflow automation tools such as Airflow, Dagster, or similar.
  • Understanding of data quality, governance, security, and modern data engineering practices.
  • Strong analytical and problem-solving skills with the ability to collaborate across technical and business teams.

Hunter Douglas, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hunter Douglas, Inc. and has not been reviewed or approved by Hunter Douglas, Inc..

  • Healthcare Strength — Core medical, dental, vision, life insurance, and an EAP are widely available with multiple health plan options. Benefits are often characterized as decent to good and can include wellness programs in at least one division.
  • Retirement Support — A 401(k) with company match is consistently highlighted and regarded positively. Use of formal benefits portals and third‑party administrators underscores structured retirement support.
  • Leave & Time Off Breadth — Paid holidays and vacation/PTO are standard, with parental/family leave available. Some divisions also call out added perks alongside the core time‑off suite.

Hunter Douglas, Inc. Insights

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The Company
HQ: Rotterdam
2,265 Employees

What We Do

Hunter Douglas offers premium, intelligent window fashions that beautifully transform natural light and enhance your home's interiors. Our products are thoughtfully engineered to craft your perfect light, and many designs offer additional energy efficiency and child safety benefits. A versatile product portfolio and broad selection of innovative operating systems—including advanced automation—allow you to effortlessly choose the look you desire and how your window treatments function.

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