Data Engineer - Healthcare & Preference for a Dutch Speaker

Harnham; Eindhoven; Hybrid; EUR 55,000 - 60,000; Full time

Benefits offered by this job

Equity or share incentive

Hybrid work model in Amsterdam

Autonomy from day one

Job summary

Harnham is seeking a data engineer to own and shape a greenfield data platform within a growing SaaS health-tech business. You will design, build, and evolve the data layer, enabling analytics, reporting, and data-driven decision making.

The role emphasizes autonomy, modern cloud stack, and clear pathways to lead data initiatives as the function matures.

Qualifications

• Hands-on experience building data platforms from scratch.
• Strong SQL and data modelling capabilities.
• Experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of modern data stack tools and integrations.
• Ability to work autonomously in a standalone data engineer role.

Responsibilities

• Design and build a cloud-based data platform from the ground up.
• Develop robust ETL/ELT pipelines ingesting data from SaaS apps and systems.
• Establish data modelling standards and scalable architecture.
• Own data quality, governance, and monitoring processes.

Skills

Cloud data engineering

SQL

Data modelling

Python

Stakeholder management

ETL/ELT pipelines

Tools

Snowflake

Databricks

BigQuery

Redshift

dbt

Job description

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

Your Skills & Experience

• 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

What They Offer

• Salary of €55,000 - 60,000 depending on experience
• Meaningful equity or share incentive opportunity
• Hybrid working model based in Amsterdam
• 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