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Staff Reltio Data Engineer

Data Engineer Full-time Europe, LATAM

Job details

Not specified Salary
Europe, LATAM Eligibility
Staff Experience
Full-time Employment

About this role

Role overview Lead the design and delivery of master data management solutions on the Reltio Connected Data Platform. You’ll shape how business data is modeled, connected, governed, and maintained across multiple domains, while guiding engineering teams and aligning technical choices with stakeholder needs.

Responsibilities - Architect, configure, and evolve Reltio models, entity relationships, matching and merging, survivorship, and data quality rules. - Build golden record and entity resolution capabilities across business data domains. - Develop integrations with internal and external systems, including REST API connections, and create scalable ingestion, transformation, and synchronization workflows. - Establish governance, stewardship, monitoring, testing, and deployment practices; investigate complex data and integration problems. - Set implementation standards, lead technical discussions and design reviews, and mentor engineers. - Work with business stakeholders, data architects, and engineering teams to translate requirements into MDM solutions; assess platform capabilities and related technologies.

Requirements - 10 or more years of experience in data engineering, software engineering, or data architecture. - Strong practical experience implementing, configuring, and developing on the Reltio Connected Data Platform. - Deep knowledge of MDM, including golden records, entity resolution, matching and merging, survivorship, data domains, and reference data. - Experience designing data models, integrations, and reliable data ingestion and synchronization processes. - Ability to establish data quality and governance practices, resolve complex technical issues, and guide engineering decisions. - A bachelor’s degree in computer science, engineering, information systems, or a related field is preferred.

Nice to have - Familiarity with data governance platforms such as Collibra or Alation, AI/ML or LLM applications, and AI-assisted development tools. - Experience in commercial real estate, fintech, or transaction and operations systems. - Experience mentoring engineers and influencing technical direction across teams.

Benefits and work setup - Remote work with location flexibility and opportunities for continuous learning and cross-industry projects.

Skills detected in the listing

PythonJavaSQLSnowflakeData EngineeringRequirements GatheringStakeholder ManagementAWSGCPAzureLLM
Detected Nov 11, 2026
Last verified Nov 12, 2026

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