🔑 Key Responsibilities

🏗️ Own and evolve our data architecture

• Design, build, and maintain scalable data pipelines and data models.
• Improve data reliability, quality, and observability across the platform.

💡 Drive product thinking through data

• Proactively identify gaps in reporting, data structure, and workflows.
• Partner with product and engineering to shape features, not just implement them.
• Translate complex compliance requirements (DAC7, VAT, CSRD, etc.) into robust data models.

⚙️ Build intelligent data systems

• Develop systems that detect anomalies, missing data, and inconsistencies.
• Enable automated data validation and correction workflows.
• Design data structures that support real-time and batch reporting.

🤖 Help build our AI-powered compliance agent

• Work with LLMs and AI tooling to automate report generation.
• Enable systems that can explain, fix, and enrich user data.
• Integrate AI into data pipelines to improve accuracy and reduce manual work.

📈 Orchestrate and scale

• Implement and manage data orchestration workflows.
• Optimize performance and cost of data processing.
• Ensure systems are robust, secure, and compliant.

🤝 Collaborate across teams

• Work closely with product, engineering, and compliance experts.
• Contribute to architectural decisions and long-term data strategy.

🗣️ Work directly with customers on their data (as needed)

• Support customers in understanding and structuring their data to meet compliance requirements.
• Help diagnose data issues, gaps, and inconsistencies that impact reporting.
• Guide customers in completing and improving their reporting outputs.
• Provide actionable insights and recommendations based on their data.
• Feed learnings back into the product to improve automation, data models, and user experience.

🎯 Key Requirements

• Strong experience as a Data Engineer or similar role.
• Experience building scalable data pipelines and architectures.
• Proficiency with modern data stack tools (e.g., Python, SQL, dbt, Airflow or similar).
• Experience with cloud platforms (AWS preferred).
• Familiarity with data modeling for analytics and product use cases.
• Experience with event-driven architectures and/or serverless environments is a plus.
• AI & Product Mindset (Critical):
• Interest or experience working with LLMs / AI systems in production.
• Ability to think beyond pipelines—you understand how data drives product value.
• Strong intuition for data quality, edge cases, and user impact.
• You ask: “What should we build?” , not just “How do we build it?”
• Will be a key contributor in the development of our Compliance GPT agent.
• Right to live and work in NL (preferred but not mandatory)

🌟 About Supplied Supplied is a B2B SaaS company focused on developing cutting-edge software solutions to simplify and streamline compliance processes. We leverage AI solutions to make our work efficient so we can focus on solving customer problems rather than nuancing particular API fields. We are a dynamic and collaborative team dedicated to creating high-quality products that make a real impact.

If you are excited about building impactful software in a fast-paced environment, we encourage you to apply!