Data Engineer - Healthcare & Preference

If you’re looking for a role where you can shape an entire data function from the ground up, this is a rare opportunity to make a lasting impact. Joining a fast-growing SaaS business operating in the healthcare space, you’ll be the first dedicated Data Engineer, owning the design, build, and evolution of the company’s data platform in a truly greenfield environment. The Company They are a scaling SaaS organisation with a strong product offering and growing international customer base. With data becoming increasingly central to business decision-making and product development, they are investing in building modern data capabilities from scratch. This is an opportunity to influence architecture, technology choices, and best practices from day one. You’ll work closely with stakeholders across the business while helping establish the foundations for a future data team. The Role You will take ownership of the company’s data engineering capability, designing and delivering a scalable data platform that supports analytics, reporting, and future data initiatives. Responsibilities include:

• Designing and building a modern cloud-based data platform from the ground up
• Developing robust ETL and ELT pipelines to ingest, transform, and manage data from multiple SaaS applications and operational systems
• Establishing data modelling standards and scalable data architecture
• Owning data quality, reliability, governance, and monitoring processes
• Partnering with product, engineering, finance, and commercial teams to understand business requirements
• Creating the foundations for self-service analytics and reporting
• Evaluating and selecting appropriate tools, technologies, and frameworks
• Supporting the longer-term growth and maturity of the company’s data function

• Strong commercial experience as a Data Engineer within a modern cloud environment
• Expertise building data pipelines and data platforms from scratch
• Advanced SQL skills and strong data modelling capabilities
• Experience with cloud platforms such as AWS, Azure, or GCP
• Hands-on experience with modern data stack technologies, including tools such as Snowflake, Databricks, BigQuery, Redshift, dbt, or equivalent
• Strong Python or similar programming skills
• Experience working with SaaS product data and multiple third-party integrations
• Ability to operate independently and take ownership in a standalone Data Engineering role
• Strong stakeholder management and communication skills
• Passion for building scalable, maintainable, and well-documented data solutions

• Salary of €55,000 - 60,000 depending on experience
• Meaningful equity or share incentive opportunity
• Hybrid working model based in Amsterdam
• Comprehensive benefits package
• Significant autonomy and ownership from day one
• Opportunity to define data strategy, architecture, and best practices
• Clear progression path into a future Lead Data Engineer or Head of Data position as the function grows
• Exposure to senior leadership and direct influence on business decisions