pbThis position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff Reltio Data Engineer based in Italy. /b /ppJoin a high-impact data engineering initiative supporting a leading commercial real estate advisory and services organization operating across multiple property sectors. In this senior technical role, you will lead the design, architecture, and implementation of enterprise Master Data Management (MDM) solutions using the Reltio Connected Data Platform. You will play a critical role in establishing reliable, scalable, and unified data ecosystems that improve data quality, consistency, and accessibility across business domains. Working closely with data architects, engineering teams, and business stakeholders, you will transform complex requirements into robust data solutions. You will also drive technical standards, governance practices, and integration strategies while mentoring engineers and influencing architectural decisions. This is an opportunity to combine hands-on technical expertise with technical leadership in a fully remote, international environment. /ph3Accountabilities /h3ulliLead the technical design, architecture, development, and implementation of enterprise Master Data Management solutions using the Reltio Connected Data Platform. /liliConfigure, manage, and optimize Reltio data models, entity types, relationships, match and merge rules, survivorship strategies, and data quality rules. /liliDesign and implement golden record management and entity resolution capabilities across multiple business data domains. /liliDevelop and maintain integrations between Reltio and internal or external enterprise systems using REST APIs and other relevant integration technologies. /liliArchitect scalable data ingestion, transformation, and synchronization processes to ensure data accuracy, consistency, and reliability. /liliEstablish and maintain effective data governance, data stewardship, data quality, and monitoring frameworks. /liliTroubleshoot complex data management and integration challenges while continuously improving platform performance, scalability, and reliability. /liliCollaborate with business stakeholders, data architects, and engineering teams to translate business needs into effective technical solutions. /liliDefine and promote technical standards and best practices for Reltio implementation, data modelling, integrations, testing, and deployment. /liliLead technical discussions, architecture reviews, and design sessions, providing guidance and recommendations to engineering teams and stakeholders. /liliMentor and support other engineers, encouraging knowledge sharing, technical development, and continuous improvement.



/liliEvaluate emerging technologies and platform capabilities to identify opportunities to enhance the MDM ecosystem and broader data architecture. /li /ulh3Requirements /h3ulliBachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline is preferred. /liliAt least 10 years of professional experience in data engineering, software engineering, or data architecture. /liliExtensive hands-on experience with the Reltio Connected Data Platform, including implementation, configuration, customization, and ongoing platform development. /liliDeep understanding of Master Data Management (MDM) principles, including golden records, entity resolution, match and merge processes, survivorship strategies, data domains, and reference data management. /liliProven experience designing and implementing Reltio data models, entity relationships, business rules, and data quality capabilities. /liliStrong experience integrating Reltio with enterprise applications and data platforms through REST APIs and other integration technologies. /liliAdvanced SQL skills and proficiency in Python, Java, or comparable programming languages. /liliExperience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP). /liliSolid understanding of data architecture, data modelling, ETL/ELT processes, and distributed data platforms. /liliPractical experience implementing data governance, data quality management, and data stewardship practices. /liliFamiliarity with CI/CD pipelines, automated testing frameworks, and software deployment processes. /liliProven ability to lead complex technical initiatives, influence architectural decisions, and collaborate effectively with cross-functional teams. /liliExcellent communication, analytical, and problem-solving skills, combined with a strong sense of ownership and technical leadership. /li /ulh3Nice To Have /h3ulliExperience with additional MDM platforms such as Informatica, Profisee, or similar solutions. /liliFamiliarity with cloud-based data platforms, including Databricks, Snowflake, Azure Synapse, BigQuery, or Amazon Redshift. /liliKnowledge of event-driven architectures and real-time data processing technologies such as Apache Kafka, Azure Event Hubs, or Amazon Kinesis. /liliExperience with data governance and cataloguing solutions such as Microsoft Purview, Collibra, or Alation.



/liliFamiliarity with AI/ML solutions, LLM-powered applications, and AI-assisted development tools. /liliPrevious experience in commercial real estate, fintech, or business operations and transaction-related systems. /liliDemonstrated experience mentoring engineers and influencing technical direction across multiple teams. /li /ulh3Benefits /h3ulli100% Remote Work: Work from anywhere, with a flexible remote-first model designed to support work-life balance and productivity. /liliInternational Opportunities: Collaborate with talented professionals across Europe, Latin America, and other international locations. /liliExciting Projects: Contribute to challenging, high-impact data engineering initiatives across multiple industries. /liliProfessional Development: Access continuous learning opportunities, technical development, and hands-on experience with modern technologies. /liliCareer Growth: Opportunities to expand your technical expertise, take on leadership responsibilities, and advance your career. /liliCollaborative Team Culture: Work alongside a diverse, multicultural team of passionate technology professionals and creative thinkers. /liliFlexible Working Environment: Agevolazioni from working arrangements that encourage autonomy, flexibility, and professional well-being. /li /ulh3How Jobgether Works /h3pWe use an bAI-powered matching process /b to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. /ppWe appreciate your interest and wish you the best! /ph3Why Apply Through Jobgether? /h3pData Privacy Notice: /ppBy submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. /ppWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p #J-18808-Ljbffr

📌 Staff Reltio Data Engineer (Italia)
🏢 Jobgether
📍 Italia