Data Platform Learning Specialist - Onboarding & Playbooks

Independent Recruiters; Amsterdam; Hybrid; EUR 56,000 - 67,000; Full time

Job summary

Independent Recruiters is seeking a Learning & Knowledge Specialist (Data Platform) for a temporary, full-time role in Amsterdam. Hybrid working is possible, with a start asap and an end date of 31 January 2027. The position offers a monthly gross salary between €5,000 and €6,000.

You will design and maintain a knowledge base, develop onboarding paths for data engineers, translate Data Mesh principles into practical guidance, and foster a community of practice across data teams.

Qualifications

• Proven knowledge management and instructional design experience in tech/data environments.
• Experience building knowledge repositories (Confluence/SharePoint) and learning materials.
• Solid understanding of data management, data platforms, and Data Mesh concepts.
• Experience in large-scale technology transformations or organizational change programs.
• Excellent written and verbal English communication.
• Analytical mindset with ability to simplify complex architectures.
• Proactive community builder for continuous learning.

Responsibilities

• Design, build, and maintain a structured knowledge repository for the data platform.
• Develop onboarding journeys, tutorials, guides, FAQs, and playbooks for data roles.
• Translate Data Mesh principles into clear, actionable guidance.
• Facilitate knowledge-sharing sessions and connect experts with business data teams.
• Continuously update content to align with platform releases and governance.

Job description

Independent Recruiters is seeking a Learning & Knowledge Specialist (Data Platform) for a temporary, full-time role in Amsterdam. Hybrid working is possible, with a start asap and an end date of 31 January 2027. The position offers a monthly gross salary between €5,000 and €6,000.

You will design and maintain a knowledge base, develop onboarding paths for data engineers, translate Data Mesh principles into practical guidance, and foster a community of practice across data teams.