The Master Data Management (MDM) Engineer will design and implement data pipelines using AI and machine learning for MDM initiatives.  Responsibilities include developing and maintaining data quality dashboards, monitoring self-service tools (Cost Center, Business Partner, AI Solutions, MDM Hub), supporting ESG initiatives through data management and reporting.  The role requires proficiency in SQL, Python, and familiarity with databases, data structures, and AI/ML modeling.  The initial work mode is on-site, transitioning to hybrid after the probation period.

<p><span style="color: rgba(0, 0, 0, 0.9);">Wargaming is a leading game developer and publisher. Join us and together we will use our passion to deliver excellence.</span></p>

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<div class="job__description body"><div><p><strong></strong></p>
<h3><strong>Job Overview</strong></h3>
<p>The Master Data Management (MDM) team is a small but highly impactful group that plays a critical role in ensuring data quality, consistency, and accessibility across the company. Over the past three years, the team has built and implemented systems to maintain clean, high-quality master data while driving automation and governance processes. By leveraging cutting-edge AI and machine learning technologies, the team creates tools and solutions to unify data and support enterprise-wide initiatives.</p>
<h3><strong>Reports to</strong></h3>
<p>MDM Manager</p>
<h3><strong>What will you do?</strong></h3>
<ul>
<li>Design and implement data pipelines, using AI and machine learning models to support master data management (MDM) initiatives.</li>
<li>Develop and maintain master data quality dashboards to track and monitor metrics such as completeness, consistency, and accuracy.</li>
<li>Conduct Ongoing monitoring, enhancement, and testing of master data Self-service tools including the Cost Center, Business Partner, AI Solutions, and MDM Hub.</li>
<li>Support ESG (Environmental, Social, and Governance) initiatives by managing data collection, cleansing, feature engineering, and reporting.</li>
</ul>
<h3><strong>We are looking for someone with:</strong></h3>
<ul>
<li>A bachelor’s or Master’s degree in Engineering, Data Science, Computer Science, Artificial intelligence, Information Systems, or equivalent experience.</li>
<li>A passion for research and an ability to stay current on emerging trends in AI and machine learning.</li>
<li>Basic Knowledge of <strong>SQL </strong>and familiarity with a programming language like <strong>Python</strong>.</li>
<li>Familiarity with databases, data structures and datasets.</li>
<li>Basic knowledge of Artificial Intelligence/Machine Learning Modelling.</li>
<li>Proficiency in Microsoft Office applications for documentation and collaboration.</li>
<li>Problem-solving skills and a detail-oriented approach to debugging and troubleshooting.</li>
<li>Fluency in English, spoken and written.</li>
</ul>
<h3><strong>What additional skills will help you stand out?</strong></h3>
<ul>
<li>Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders.</li>
<li>Ability to thrive in a <strong>fast-paced environment</strong>, solving problems efficiently and creatively. Critical thinking and attention to detail to ensure the highest levels of data quality.</li>
<li>Excellent time management and organizational skills.</li>
<li>Prior experience working on <strong>AI-driven data quality projects</strong> or a strong interest in leveraging AI for process improvements.</li>
</ul>
<h3><strong>Work mode</strong></h3>
<ul>
<li>Onsite: during the probation period to ensure a smooth onboarding process.</li>
<li>Hybrid: after the probation period.</li>
<li>This role is not eligible for relocation support.</li>
</ul>
<h3><strong>Benefits</strong></h3>
<p>Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:</p>
<ul>
<li>21 days annual leave (additional days based on years of service: up to 25 days)&nbsp;</li>
<li>Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)&nbsp;</li>
<li>Sick Leave (10 days top-up to statutory allowance per year)</li>
<li>Maternity Leave (18 weeks top-up to statutory allowance per case)</li>
<li>Career development and education opportunities within the company</li>
<li>English Language courses fully covered by the company upon Manager’s approval</li>
<li>Premium Private Health Care</li>
<li>Mental well-being program (iFeel)</li>
<li>Onsite gym and spa</li>
<li>Free parking</li>
<li>Free drinks-equipped kitchen in every floor building</li>
<li>Hellenic Bank benefits</li>
<li>Employee discounts (e.g. restaurants, bars, etc.)</li>
<li>Personal Gaming Account&nbsp;</li>
<li>Onsite canteen with subsidized prices for food and drinks</li>
<li>Company events, Social Clubs</li>
<li>Seniority Awards&nbsp;&nbsp;</li>
<li>Referral program - You can recommend the best talents to the company and receive a reward&nbsp;</li>
</ul>
<p>&nbsp;</p>
<h5>Please submit your CV in English to ensure smooth processing and review.</h5>
<p></p></div><div><h3>About Wargaming&nbsp;</h3>
<p>Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.</p>
<p>Please see <a href="http://legal.eu.wargaming.net/en/candidate-privacy-policy/">Wargaming Candidate Privacy Policy</a> for details on how Wargaming uses your personal data.</p></div></div>