About The Role

MDM TechnologyMDM Technology, a company affiliated with Dun & Bradstreet, provides enterprise-grade master data management (MDM) solutions that help organizations create a single, trusted view of business entities. By cleansing, matching, linking, and enriching data, anchored by the global standard D‑U‑N‑S® Number business identifier, MDM Technology enables accurate identity resolution across systems to support analytics, compliance, and AI workflows across industries.

What’s on Offer at MDM Ireland

25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)
Holiday buy & sell (the option to buy or sell up to 5 additional days per year)
Flexible working - hybrid model
Employee Health Insurance
Mental Health Support program
Pension Contribution
Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)
Life Assurance
Educational Assistance Program
Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)

Team Overview

Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data).
Address challenges in data quality , identity resolution , integration , and governance at scale.
Build highly available, resilient systems that support both real-time and batch workloads across global regions.
Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions.

Key Responsibilities

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Analyze and document end-to-end data flows, mappings, and dependencies across multiple systems and data platforms.
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Reverse engineer legacy data processes and create transformation specifications to support migration to modern cloud-based platforms.
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Drive data stewardship initiatives and establish data quality standards across systems and teams.

Ability to design data models/data flows for optimal data processing
Collaborate with stakeholders to understand requirements and deliver objective driven business solutions
Provide analysis, insights, and recommendations to support business needs
Stay current with emerging Generative AI technologies, tools, and best practices

Key Requirements

Data Analysis:
Thorough knowledge and hands on experience with designing/analyzing data flow in data pipelines, mapping data across platforms
Hands-on experience creating data transformation specifications clearly defining the rules for implementation team to map data between various data stores

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Strong understanding of commercial data domains and the ability to translate customer data requirements into actionable data solutions.

Hands-on experience with creating data lineage, Ontology, Reference data, data modelling, data transformations etc.
Ability to build/use tools to compare data at both macro and micro level and derive insights to enable data migration
Data stores & Querying
Very strong SQL querying skills specifically GCP data stores (Big Table, Big Query).
Advantage to have Mainframe knowledge (to assist in reviewing the data sets we will replace)
Experience with Snowflake is preferable
Experience with Data profiling, analyzing fill rates, comparing distribution of data attributes
Data Stewardship:
Knowledge and experience in frameworks/tools to measure and enforce data quality principles like integrity, consistency, accuracy
Ability to report periodic data quality dashboards, derive and report data insights to aid stakeholders take informed decisions
Others:

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Experience leveraging AI-assisted tools to improve productivity, analysis, documentation, or data management processes.

Strong analytical, problem-solving, communication, and stakeholder management skills
Worked in a completely agile environment and used tools like JIRA, Confluence
Exposure to cloud platforms, IDEs, version control repos like GitHub
API related – JSON, XML, Postman, REST