At Speakap, we build a mobile-first Employee Experience Platform designed to connect organizations with their frontline and deskless workforce across industries such as retail, hospitality, healthcare, logistics, and production. Our platform supports over 600 customers and more than 1,000,000 users, helping companies improve communication, engagement, and operational efficiency at scale.

With a strong presence in the Netherlands and a growing footprint in the United States, we are entering our next phase of growth and continue to invest in strengthening our product and data capabilities.

We’re looking for a Senior Data Engineer who enjoys building data foundations from the ground up and making raw data usable and impactful. Experience or interest in supporting AI/ML initiatives is a strong plus.

What you’ll actually do

Design and build scalable data pipelines from scratch, ensuring reliable data flows across the platform
Develop and maintain ELT processes to support analytics, reporting, and product initiatives
Use SQL and Python to transform, structure, and optimize datasets for various business and product needs
Actively monitor, maintain, and troubleshoot data pipelines.
Partner with Product, Engineering, and the CSM to enable data-driven features and decision-making
Improve data quality, consistency, and accessibility across systems and tools
Implement CI/CD for data services and infrastructure using modern DevOps tools to ensure reliable, versioned, and automated data workflows.
Build the data reporting and dashboards that translate raw data into business insights and decision-making.
Contribute to a fast-moving environment where pragmatism, ownership, and adaptability are key

What you bring

At least a BSc in Computer Science, Data Engineering, Data Science, or a related technical field, with approximately 5 years of relevant experience
Strong hands-on experience building data pipelines and workflows from scratch
Strong hands-on experience with Snowflake and Airflow (or similar orchestration tools).
Solid SQL skills and practical Python experience for data processing and transformation
Experience working with modern data stacks or cloud environments (AWS) is a plus
Comfortable working cross-functionally with Product and Engineering teams
Pragmatic, ownership-driven, and able to work independently, with interest or experience in supporting AI or data-driven initiatives considered a strong plus

What’s in it for you

Competitive compensation and meaningful ownership over your work
Startup speed with a proven product and real-world scale
The opportunity to shape how data supports product and business decisions
Exposure to a growing AI and data-driven product landscape
A collaborative environment with fast feedback loops and minimal bureaucracy

What we offer

Impactful work on a platform used by well-known global brands
Personal growth through challenging projects and experienced peers
A supportive, low-politics culture with modern tools and equipment
Flexibility through a hybrid work model, including up to 90 days working from abroad

Speakap

Vacatures

Senior Data Engineer (AI/ML Platform)