> Markdown version of [/jobs/ext/4016745-mdm-data-engineer](https://www.wearedevelopers.com/jobs/ext/4016745-mdm-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MDM Data Engineer - **Company:** Response Informatics - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Data Architecture, Data Deduplication, Information Engineering, Data Governance, Data Integration, Data Masking, Intrusion Detection Systems, Metadata, SQL Databases, Data Layers, Data Lakes, Pyspark, Data Lineage, Data Management, Entity Resolution, Data Pipelines, Databricks - **Published:** October 30, 2026 - **Apply:** https://www.totaljobs.com/job/data-engineer/response-informatics-job108242076 ## About the Role · Strong experience in Master Data Management (MDM) and data engineering. * Hands-on expertise in Databricks, PySpark, SQL, Delta Lake, and Lakehouse architecture. * Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality. * Good understanding of Unity Catalog, data governance, metadata, and lineage. * Experience integrating data from multiple enterprise platforms. * Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have · Experience with Informatica MDM/IDMC, Reltio, Profisee, Semarchy, or similar MDM platforms. * Cloud experience with Azure, AWS, or GCP. * Exposure to large-scale data modernization or migration programs. ## Description · Design and implement MDM solutions, including common IDs, Golden Records, entity matching, deduplication, and survivorship rules. * Integrate data from multiple source systems into the Databricks Lakehouse. * Develop and optimize data pipelines using Databricks, PySpark, SQL, and Delta Lake. * Build and enhance Bronze, Silver, and Gold data layers. * Implement data quality, standardization, reconciliation, and validation processes. * Support Unity Catalog, data lineage, access controls, cataloguing, and data governance. * Implement data masking and anonymization for sensitive data. * Build trusted, reusable data layers for cross-platform analytics and intelligence. * Collaborate with business, architecture, and engineering teams to define MDM and data integration requirements.