Wolters Kluwer

Data Engineer

Wolters Kluwer

full-time

Posted on:

Location Type: Hybrid

Location: Alphen aan den Rijn • Netherlands

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Tech Stack

AzureCloudETLPythonSQL

About the role

  • Design and implement a modern, scalable data architecture for HR and people analytics
  • Build and maintain data pipelines (ETL/ELT) to integrate data from systems like Workday and other sources
  • Ensure accurate, consistent, and reliable data integration across all platforms
  • Structure and optimize the data lake according to best practices
  • Translate security and compliance requirements into robust data engineering solutions
  • Implement data lifecycle management processes, including retention and purging
  • Ensure data quality through monitoring, testing, and validation (e.g. dashboards and reporting)
  • Collaborate closely with technical teams and stakeholders
  • Document data architecture, processes, and security standards
  • Support auditability, traceability, and backup/recovery strategies

Requirements

  • Strong background in data engineering and data platform design
  • Hands-on experience with SQL, data modelling, and ETL/ELT pipelines
  • Experience with cloud-based data platforms (preferably Snowflake)
  • Solid understanding of data architecture, data storage, and security concepts
  • Experience with data integrations and building reliable data pipelines
  • Bachelor-level thinking and working ability
  • Full professional proficiency in English
  • Nice to have: Experience with Snowflake (incl. Snowpark) or Azure Data Services (Data Factory, Synapse, Databricks, ADLS)
  • Nice to have: Experience with Python
  • Nice to have: Familiarity with Power BI (for data monitoring)
Benefits
  • A key position with high visibility and impact
  • A collaborative, international, and data-driven environment
  • Hybrid working model with flexibility
  • Opportunities for professional growth and development
  • Competitive salary and benefits package
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata platform designSQLdata modellingETLELTdata architecturedata storagedata integrationsPython
Soft Skills
collaborationdocumentationcommunicationproblem-solvingattention to detail