Data Platform Engineer

Working closely with colleagues in IT, Sales, Marketing, Operations and Finance, you will ensure that reliable, high-quality data is consistently available for reporting, analysis and AI-driven insights.

You will help transition from today’s fragmented reporting landscape to a modern, scalable architecture that supports both day-to-day operational needs and future innovation.

Your Responsibilities

Build and maintain the data platform

You will design, develop and maintain data pipelines that connect core business applications, online sales channels, analytics tools, advertising systems, social media sources and other operational platforms.

You will manage orchestration, scheduling, monitoring and error handling to ensure automated and dependable data processing.

Create a single source of truth

You will design scalable warehouse and lakehouse models using modern cloud-based data technologies and medallion architecture principles.

By building curated business datasets, you will enable consistent reporting while also supporting flexible exploration and advanced analytics.

Shape the future data architecture

Instead of maintaining multiple parallel reporting environments, you will help simplify and modernise the entire data landscape.

You will contribute to architectural decisions and continuously improve scalability, flexibility and performance.

Enable reporting and AI

You will work directly with business stakeholders to translate information needs into sustainable data models.

Beyond maintaining dashboards, you will introduce conversational analytics and AI-driven data agents that allow colleagues to interact with data through natural language and receive intelligent insights.

Safeguard data quality

Reliable data is essential.

You will implement monitoring, validation and governance processes to ensure data quality, document data lineage and manage permissions within the cloud data platform as it evolves.

Who You Are

Mindset matters more than checking every technical box.

We value ownership, curiosity and the drive to build solutions that last. If you enjoy solving complex problems, learning continuously and taking responsibility for your work, you will thrive in this role.

• 2+ years of experience in Data Engineering, Analytics Engineering or a similar role.
• Strong SQL skills and solid understanding of data modelling.
• Experience with cloud-based data platforms such as Microsoft Fabric, Snowflake or Databricks.
• Experience building and maintaining data pipelines and orchestration workflows.
• Experience with Power BI or another BI platform.
• Affinity with ERP, e-commerce or marketing data.
• Interest in AI, conversational analytics and emerging data technologies.

Additional requirements from the job poster:

• 2+ years of experience with Snowflake
• 3+ years of experience with permission management (“Machtigingen”)
• 2+ years of experience with SQL