Staff Reltio Data Engineer

Responsibilities

Lead the technical design, architecture, and implementation of enterprise MDM solutions using the Reltio Connected Data Platform. Collaborate with stakeholders to define technical standards and mentor engineering teams to ensure data accuracy and platform reliability.

Requirements

Requires a bachelor's degree and over 10 years of experience in data engineering or architecture with deep expertise in Reltio and MDM concepts. Candidates must possess strong programming skills in SQL, Python, or Java and experience with cloud platforms and integration technologies.

Skills

• Reltio Connected Data Platform
• Master Data Management
• Data Architecture
• Data Modeling
• REST APIs
• SQL
• Python
• Java
• Cloud Platforms
• ETL/ELT
• Data Governance
• Data Quality
• Entity Resolution
• CI/CD
• Automated Testing
• Leadership

Benefits

• Remote work model
• Flexible working conditions
• Continuous learning
• Development opportunities

About this role

PROJECT OVERVIEW
Our client is a leading commercial real estate advisory and services provider, supporting large institutional investors, global corporations, and other owners and occupiers. Their mission is to make leasing, buying, and selling properties across the retail, office, multifamily, industrial, student housing, and hospitality sectors easier and more efficient.
IN THIS ROLE, YOU WILL
Lead the technical design, architecture, and implementation of enterprise MDM solutions using the Reltio Connected Data Platform.
Configure and maintain Reltio data models, entity types, relationships, match and merge rules, survivorship strategies, and data quality rules.
Design and implement golden record management and entity resolution capabilities across multiple business data domains.
Develop and maintain integrations between Reltio and internal and external systems using REST APIs and other relevant integration technologies.
Design scalable data ingestion, transformation, and synchronization processes to ensure data accuracy and consistency.
Establish and maintain data governance, stewardship, data quality, and monitoring practices.
Troubleshoot complex data and integration issues and continuously improve platform performance and reliability.
Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into effective MDM solutions.
Define technical standards and best practices for Reltio implementation, data modelling, integration, testing, and deployment.
Lead technical discussions and design reviews, providing guidance to engineering teams and stakeholders.
Mentor and support other engineers, promoting knowledge sharing and continuous improvement.
Evaluate new capabilities and technologies that can enhance the MDM platform and overall data architecture.
IF YOU ARE
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field preferred.
10+ years of experience in data engineering, software engineering, or data architecture.
Strong hands-on experience with the Reltio Connected Data Platform, including implementation, configuration, and ongoing platform development.
Deep understanding of Master Data Management (MDM) concepts, including golden records, entity resolution, match and merge, survivorship, data domains, and reference data management.
Experience designing and implementing Reltio data models, relationships, business rules, and data quality capabilities.
Strong experience integrating Reltio with enterprise applications and data platforms using REST APIs and other integration technologies.
Strong SQL skills and proficiency in Python, Java, or similar programming languages.
Experience with cloud platforms such as Azure, AWS, or GCP.
Understanding of data architecture, data modelling, ETL/ELT processes, and distributed data platforms.
Experience with data governance, data quality, and data stewardship practices.
Experience with CI/CD, automated testing, and deployment processes.
Proven ability to lead complex technical initiatives and work with cross-functional teams.
Strong communication, analytical, and problem-solving skills.
NICE TO HAVE
Experience with other MDM platforms such as Informatica, Profisee, or similar solutions.
Experience with cloud data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery, or Redshift.
Knowledge of event-driven architectures and real-time data processing technologies such as Kafka, Event Hubs, or Kinesis.
Experience with data governance and cataloguing tools such as Microsoft Purview, Collibra, or Alation.
Familiarity with AI/ML solutions, LLM-powered applications, and AI-assisted development tools.
Experience with commercial real estate, fintech, or operations and transaction-related systems.
Experience mentoring engineers and influencing technical direction across teams.
AS AN OPINOV8R, YOU WILL HAVE
Digital-First Approach: Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide.
Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.
Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.
HOW’S THE HIRING PROCESS GOING
We strive to make our hiring process smooth and transparent to find the perfect match for both sides. Steps may differ depending on the role, but here’s what to expect:
Initial Interview: If your background fits the role, we’ll invite you for an interview with a Talent Acquisition Specialist.
Technical Interview: Depending on the position, you may complete a technical assessment or test task.
Final Decision: After all steps, we’ll get back to you with the result and next steps.

About Opinov8

Software Development · 201-500 employees · headquartered in London, England · founded 2017