Senior Data Engineer

Who we are

Led by founder and CEO Robert Keane, Cimpress invests in and helps build customer-focused, entrepreneurial mass customization businesses. Through the personalized physical (and digital) products these companies create,we empower over 17 million global customers to make an impression. Last year, Cimpress generated $3.5B in revenue through customized print products, signage, apparel, packaging and more. The Cimpress family includes a dynamic, international group of businesses and central teams, all working to solve problems, build businesses, innovate and improve.

We are the B2B market leader in online printing in the Netherlands and Belgium. But we go beyond just printing. We are an e-commerce organization full of professionals with a love for paper, pixels, and smart solutions. Every day, we work together on a company that not only looks ahead and continuously innovates, but also contributes. Responsibly, ambitiously, and with pleasure.

At Drukwerkdeal, we offer the broadest, deepest, and most relevant range of online printing. We are there for the B2B customer, communicate in a targeted manner, and build a strong brand that is both reliable and distinctive. How do we achieve this? With four core values that guide us every day.

• 4+ years of experience handling large data volumes and orchestrating and monitoring automated Batch & Near Real-Time ETL/data pipelines using CI/CD and Cloud Technologies, with preferred expertise in DBT or DBT Cloud.
• Strong programming skills in Python and SQL.
• Solid experience with MPP Data Warehouse systems such as Snowflake or Amazon Redshift, along with cloud platforms including AWS (Preferred), Azure, or GCP.
• Expertise in Data Modelling and Data Warehousing best practices, with a strong ability to adopt development best practices such as modularization, testing, and refactoring.
• Experience with Business Intelligence and reporting tools such as Looker is an added advantage.
• Hands‑on experience with Machine Learning (ML) and MLOps practices, including model training, versioning, deployment, monitoring, and lifecycle management using tools like MLflow, Sage Maker, or Vertex AI.
• Ability to leverage AI tools in day-to-day data engineering tasks, such as using Git Hub Copilot or Claude for code generation, debugging, query optimization, and pipeline development to improve productivity and efficiency.
• Exposure to Generative AI tools and frameworks (e.g., Lang Graph, Lang Chain, OpenAI APIs).
• Curiosity to explore and implement evolving data engineering and Generative AI technologies.
• Understanding of modern practices like Data Ops, MLOps or equivalent experience.
• Strong problem-solving skills with a solid understanding of data structures, algorithms, and the ability to thrive in ambiguous environments with minimal oversight.

Being at Cimpress means that you don't see work as just a building, a desk or a manufacturing floor. You see it as a chance to take a step forward in your career journey - and your life. We strive to give you everything you need to learn, grow, and succeed. Through innovation, collaboration, and perpetual exposure to what's next, we're always pushing boundaries and broadening our horizons.

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 just call it another great day at work.

In 2020, Cimpress adopted a Remote-First operating model and culture. We heard from our team members that having the freedom, autonomy and trust in each other to work from home and the ability to operate when they are most productive, empowers them to be their best. We also provides…