Remote Senior Data Engineer – Web Scraping & Pricing

Who We Are:

Cimpress N.V. (NASDAQ: CMPR) is the world leader in mass customisation. Our unmatched technology, production, and supply chain operations allow us to offer products that can be personalised by an individual customer and manufactured on demand: easily, with great quality, and at affordable prices. Whether it is customised apparel, marketing materials for a business, or personalised photo products commemorating cherished family moments, we create real, tangible products that mean something to real people.

Founded over 20 years ago from a spare bedroom in Paris, Cimpress has grown into a global company with over $3.2 billion in annual revenue, 16+ million customers, and more than 5,000 team members across 16 countries. We operate a portfolio of well-known brands, including Vistaprint, Albelli, Drukwerkdeal, and Pixartprinting.

We encourage our engineers to think like an owner, acting small, while supported by a large organization. This is a new team with significant flexibility to define the landscape of technology for solving business problems. The engineering team is an integral stakeholder in defining and building the product.

WIRmachen

DRUCK is one of the leading Print-On-Demand providers in Germany. To expand our international presence, we are launching a dedicated online shop for the Spanish market. Our product portfolio covers a wide range of customizable items, from classic print products to promotional merchandise, textiles, and large-format printing

About the role-

The Pricing & Analytics team within Product Management plays a key role in shaping our data-driven pricing strategies. By automating the collection and processing of market data, we provide the foundation for informed decisions on product and price management.

We are looking for a motivated Python Developer with strong expertise in web scraping and data processing to join our growing team.

What you will do-

Design, develop, and maintain web scraping scripts to automate data collection from various online sources

• Extract, clean, structure, and store large datasets in MySQL databases

• Develop tools for data visualization and analysis of product and pricing information

• Support the integration of collected data into existing pricing and analytics workflows

• Collaborate closely with the product team to build data-driven solutions
• Optional:
Contribute to the development of internal applications using .NET / C#

Your Qualifications:

4-9 years of experience in Data Engineering using Python, with additional hands-on exposure to web scraping techniques and data extraction from online sources.

Bachelor’s/Master’s degree in Computer Science, Data Science, Mathematics, or related field

• Strong hands-on experience with Python, especially in web scraping (e.g., Scrapy, Beautiful Soup, Selenium)

• Experience working with REST APIs and structured data formats (JSON, XML, CSV)

• Proficiency in MySQL and relational database management

• Independent, structured work style with strong attention to detail and quality

• Nice to Have:
Experience with pandas, Num Py, matplotlib for data processing and analysis

Nice to have

• Knowledge of .NET / C#
• Exposure to Docker, CI/CD pipelines, or cloud platforms (AWS, Azure, GCP)

Why you’ll love working here:

Being at Cimpress means you don’t see work as just a building, a desk, or a manufacturing floor. You see it as a chance to advance in your career and life. We strive to give you everything you need to learn, grow, and succeed. We’re constantly pushing boundaries and broadening our horizons through innovation, collaboration, and perpetual exposure to what’s next.

We embrace the chance to operate outside of our comfort zone to discover what we’re capable of. Some might call that a challenge; we call it another great day at work.

For this role, occasional travel will be required to meet with business stakeholders, and platform teams, and collaborate on exciting initiatives.

Equal Opportunity Employer:

Cimpress is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or…