Data Engineer

If you’re looking for a Data Engineer role where you can shape a data platform from the ground up, this is an excellent opportunity to make a meaningful impact. You’ll play a key role in building a modern data foundation, developing a new semantic data layer, and helping to enable future AI-driven capabilities within a growing SaaS environment. The Company They are a technology-driven organisation operating within a highly regulated industry, providing software solutions to a broad customer base. As they continue to invest in their data capabilities, they are building out a modern data platform designed to support analytics, reporting, and future innovation. The environment is collaborative, forward-thinking, and focused on knowledge sharing. This role offers the chance to influence both technical direction and long-term data strategy. The Role You will be responsible for designing, building, and maintaining scalable data solutions that support business intelligence and analytics initiatives., * Building and maintaining end-to-end data pipelines and ETL processes

• Developing analytics-ready datasets and semantic data models
• Designing robust data architectures within Microsoft Azure
• Supporting the creation of a new semantic data layer for reporting and analytics
• Working closely with architects, analysts, and business stakeholders to translate requirements into scalable solutions
• Improving data quality, performance, governance, and reliability across the platform
• Contributing to best practices, tooling decisions, and future data engineering standards
• Supporting the evolution of the wider data landscape and future AI initiatives

• Strong commercial experience in Data Engineering
• Excellent SQL skills and experience working with large datasets
• Experience designing and maintaining ETL workflows
• Strong understanding of data modelling principles
• Exposure to Microsoft Azure and cloud-based data platforms
• Experience building scalable, production-grade data solutions
• Comfortable working in a collaborative, stakeholder-facing environment
• Bachelor’s degree in a relevant quantitative or technical discipline

Desirable experience:

• ClickHouse
• dbt, DLT, Dagster, or similar modern data tooling
• Semantic modelling or semantic layer development
• SaaS environments
• Healthcare or regulated industry experience
• Dutch language skills, or an interest in learning Dutch

• The opportunity to join a greenfield data engineering initiative
• High levels of ownership and technical influence
• Remote working flexibility within the Netherlands
• Close collaboration with technical and business stakeholders
• A supportive, knowledge-sharing culture
• The chance to help shape future teams, processes, and data strategy
• Long-term career progression as the data function continues to grow