
201 - 500 employees
Founded 2017
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
opinov8 is a global digital and engineering solutions company specializing in custom software, cloud, and data services. Headquartered in London with development centers and remote teams across Ukraine, Egypt, Colombia, Portugal and the EU, opinov8 partners with businesses worldwide to accelerate digital transformation through custom engineering, cloud migrations, and data-driven solutions. The company operates as a remote-first B2B services provider serving clients across sectors such as finance, healthcare, logistics, and media.
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First seen by Remote Rocketship 0 minutes ago

201 - 500 employees
Founded 2017
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
opinov8 is a global digital and engineering solutions company specializing in custom software, cloud, and data services. Headquartered in London with development centers and remote teams across Ukraine, Egypt, Colombia, Portugal and the EU, opinov8 partners with businesses worldwide to accelerate digital transformation through custom engineering, cloud migrations, and data-driven solutions. The company operates as a remote-first B2B services provider serving clients across sectors such as finance, healthcare, logistics, and media.
âą Lead the technical design, architecture, and implementation of enterprise MDM solutions using the Reltio Connected Data Platform âą Configure and maintain Reltio data models, entity types, relationships, match and merge rules, survivorship strategies, and data quality rules âą Design and implement golden record management and entity resolution capabilities across multiple business data domains âą Develop and maintain integrations between Reltio and internal and external systems using REST APIs and other integration technologies âą Design scalable data ingestion, transformation, and synchronization processes âą Establish and maintain data governance, stewardship, data quality, and monitoring practices âą Troubleshoot complex data and integration issues and improve platform performance and reliability âą Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into MDM solutions âą Define technical standards and best practices for Reltio implementation, data modelling, integration, testing, and deployment âą Lead technical discussions and design reviews âą Mentor and support other engineers âą Evaluate new capabilities and technologies to enhance the MDM platform and overall data architecture
âą Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field preferred âą 10+ years of experience in data engineering, software engineering, or data architecture âą Strong hands-on experience with the Reltio Connected Data Platform, including implementation, configuration, and ongoing platform development âą Deep understanding of Master Data Management (MDM) concepts, including golden records, entity resolution, match and merge, survivorship, data domains, and reference data management âą Experience designing and implementing Reltio data models, relationships, business rules, and data quality capabilities âą Strong experience integrating Reltio with enterprise applications and data platforms using REST APIs and other integration technologies âą Strong SQL skills and proficiency in Python, Java, or similar programming languages âą Experience with cloud platforms such as Azure, AWS, or GCP âą Understanding of data architecture, data modelling, ETL/ELT processes, and distributed data platforms âą Experience with data governance, data quality, and data stewardship practices âą Experience with CI/CD, automated testing, and deployment processes âą Proven ability to lead complex technical initiatives and work with cross-functional teams âą Strong communication, analytical, and problem-solving skills âą Experience with other MDM platforms such as Informatica, Profisee, or similar solutions is nice to have âą Experience with cloud data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery, or Redshift is nice to have âą Knowledge of event-driven architectures and real-time data processing technologies such as Kafka, Event Hubs, or Kinesis is nice to have âą Experience with data governance and cataloguing tools such as Microsoft Purview, Collibra, or Alation is nice to have âą Familiarity with AI/ML solutions, LLM-powered applications, and AI-assisted development tools is nice to have âą Experience with commercial real estate, fintech, or operations and transaction-related systems is nice to have âą Experience mentoring engineers and influencing technical direction across teams is nice to have
âą Fully remote work model with flexible working conditions âą Work from wherever you are; professionals worldwide âą Exciting projects across industries âą Continuous learning and development opportunities âą Hands-on experience âą Collaboration with a diverse and cross-cultural team
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