9 of 9 ERwin Jobs in London

success in designing solutions that deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly with senior technical and business stakeholders. Enterprise Data Modelling: 3–5 years using ERwin, ER/Studio, Power Designer, or similar. BI/Reporting Tools: Familiarity with Power BI, Tableau, or Qlik. Certifications: Preferred – Cloud certifications in Azure, AWS, or GCP. What's More ❯

ensuring alignment with agile methodologies and technical solutions. About the Candidate The ideal candidate will possess the following: Experience with data modelling tools and techniques (e.g., ER/Studio, ERwin, UML, etc.). Proficiency in SQL/Python and data manipulation. Knowledge of Snowflake & Azure Understanding of data architecture principles and data governance. Good understanding of database management, design More ❯

translate requirements into scalable data models. Ensure consistency and integrity of data models across retail, specialist, and reinsurance lines. Document data structures and business rules using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and More ❯

translate requirements into scalable data models. Ensure consistency and integrity of data models across retail, specialist, and reinsurance lines. Document data structures and business rules using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and More ❯

lines (retail, specialist, reinsurance). Collaborate with business analysts, architects, and SMEs to translate requirements into scalable data models. Document entities, relationships, and business rules using tools such as ERwin, PowerDesigner, or Sparx EA. Ensure adherence to data modelling standards, governance, and regulatory requirements. Support Master and Reference Data Management, Data Lineage , and Data Quality initiatives. Align data modelling More ❯

lines (retail, specialist, reinsurance). Collaborate with business analysts, architects, and SMEs to translate requirements into scalable data models. Document entities, relationships, and business rules using tools such as ERwin, PowerDesigner, or Sparx EA. Ensure adherence to data modelling standards, governance, and regulatory requirements. Support Master and Reference Data Management, Data Lineage , and Data Quality initiatives. Align data modelling More ❯

ensure scalability, quality, and security. Preferred Education Bachelor's Degree Required Technical And Professional Expertise Extensive experience in data engineering and data modeling, with proficiency in tools such as ERWin, MDM, and/or ETL frameworks. Mastery of data mapping, transformation, and integration principles. Strong knowledge of data quality, security, and privacy standards. Proven track record of delivering high More ❯

business needs, regulatory requirements, and enterprise data architecture standards. The ideal candidate will have a strong understanding of data modelling best practices, experience with data modelling tools such as ERWIN, and proven ability to engage effectively with both technical and non-technical stakeholders. This individual will help define the data foundations that drive the organisation's analytical and regulatory … to internal data users. Role Criteria Essential: Strong experience developing conceptual, logical, and physical data models. Proven ability to translate business needs into structured data artefacts. Demonstrable experience using ERWIN Data Modeler or equivalent tools (eg, PowerDesigner, Sparx Enterprise Architect). In-depth knowledge of data modelling methodologies (eg, 3NF, Dimensional, Data Vault). Strong stakeholder engagement and communication More ❯

business needs, regulatory requirements, and enterprise data architecture standards. The ideal candidate will have a strong understanding of data modelling best practices, experience with data modelling tools such as ERWIN, and proven ability to engage effectively with both technical and non-technical stakeholders. This individual will help define the data foundations that drive the organisation's analytical and regulatory … to internal data users. Role Criteria Essential: Strong experience developing conceptual, logical, and physical data models. Proven ability to translate business needs into structured data artefacts. Demonstrable experience using ERWIN Data Modeler or equivalent tools (eg, PowerDesigner, Sparx Enterprise Architect). In-depth knowledge of data modelling methodologies (eg, 3NF, Dimensional, Data Vault). Strong stakeholder engagement and communication More ❯