Data Engineer - Platform Integrations

we are building a SaaS platform that transforms how professionals learn across Europe. Doctors, lawyers and teachers already use our products to stay certified, and with each new acquisition our platform grows in scale, complexity and impact. We are now looking for a Data Engineer to design and run the data side of these migrations and help onboard new brands into our multi tenant environment in a safe, predictable way.

a fast growing group of e learning companies on a mission to become Europe’s leading platform for professional education.

We serve regulated industries such as law, medicine, transport and education, where continuity and reliability are critical.

After successfully onboarding our first tenant onto a new multi tenant platform, we are scaling across brands and standardising how systems integrate. You will join a skilled engineering team that values autonomy, clean code and long term maintainability.

As a Data Engineer for Platform Integrations, you will own the data mapping, transformation and validation flows that make each brand migration successful. You analyse source and target schemas, build robust pipelines in Python and SQL, and ensure every dry run and cut over is traceable, reversible and compliant with our quality standards.

Your key responsibilities:

• Analyse data models and map source to target schemas across multiple brands

• Build and maintain data transformation pipelines using Python and SQL

• Design and run dry runs with clear validation logic, logging and error handling

• Ensure data migrations are auditable, safe and reversible

• Collaborate closely with the integration architect, platform engineers and project management

• Create reusable templates, scripts and documentation for future migrations

• Identify data risks early and turn them into manageable actions for the wider team

• 4-7 years of experience in data engineering, ETL development or analytics engineering

• Deep knowledge of SQL and strong Python skills for building transformation pipelines

• Experience working with multiple database types and complex schemas

• Ability to design validation logic, detect inconsistencies and safeguard data quality

• A structured, calm and methodical approach to handling messy or legacy datasets

• Strong communication skills, able to explain decisions to technical and non-technical stakeholders

• Fluent English (Dutch is a plus)

• Based in the Netherlands (no IND sponsorship)

• Excellent salary up to 8.000 euro gross per month, depending on experience

• Pension scheme

• 26 vacation days

• Free daily lunch at the office

• Hybrid setup: 2 days on site in Utrecht, 3 days remote

• Team events such as BBQs and Christmas dinners

• Must be based in the Netherlands

• No visa sponsorship IND

Keywords
Data Engineer, ETL, SQL, Python, Data Pipelines, Data Migration, Data Mapping, Data Quality, Dry Run, Validation, Logging, AWS, Aurora, MySQL, MongoDB, Multi tenant SaaS, Platform Integrations, Hybrid Utrecht, The Randstad

Interested

Send your resume or LinkedIn profile to via de button "Solliciteer nu" op deze pagina. with the subject line: Data Engineer