Master Data Management Specialist at Nebius

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Master Data Management, Oracle, Jira, Slack, Excel, Communication, Adaptability, Data Stewardship, Problem Solving, Attention To Detail, Organizational Skills, Multitasking, Continuous Learning, Collaboration, International Documentation

Industry

technology;Information and Internet

Description

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. Role Overview The Master Data Management (MDM) Specialist will be responsible for managing and maintaining master data across systems in alignment with internal policies. This role will contribute to operational excellence and data accuracy across the organization, working closely with cross-functional teams to support compliance, consistency, and high-quality data stewardship. Key Responsibilities Manage and maintain lists, directories, and master data across multiple platforms. Use tools such as Oracle, Jira, and Slack to support data workflows and resolve issues. Ensure compliance with the company's Master Data Management Policy and related standards. Collaborate with cross-functional stakeholders while communicating professionally and assertively. Support data processing and reporting tasks through advanced Excel capabilities. Quickly learn and adapt to new systems, procedures, and technologies. Work with international documentation and maintain standards across jurisdictions (e.g., USA, EU, Israel). Key Qualifications & Experience Must-have requirements: Bachelor's degree in Information Systems, Business Administration, or a related field. Proven experience with Oracle, Jira, and Slack. Advanced Excel proficiency (e.g., pivot tables, data validation, formulas). Strong verbal and written communication skills. Fluent English Ability to stay focused and assertive under pressure. Demonstrated adaptability and eagerness to learn new systems and tools. Familiarity with handling international documentation. Preferred qualifications: Experience working in regulated or policy-driven environments. Exposure to Master Data Management or data governance frameworks. Experience working independently or as part of a distributed team. Hebrew fluency Competencies & Behavioral Traits High attention to detail and accuracy in data entry and maintenance. Proactive mindset and problem-solving orientation. Ability to communicate clearly and professionally with diverse stakeholders. Strong organizational and multitasking skills. Commitment to continuous learning and improvement. Collaborative approach with the ability to work across teams and time zones. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Hybrid working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Responsibilities

The Master Data Management Specialist will manage and maintain master data across systems in alignment with internal policies. This role will contribute to operational excellence and data accuracy across the organization, collaborating with cross-functional teams.