11 of 11 Permanent ERwin Jobs in the UK

and interpret data requirements Support metadata management, documentation, and governance activities Contribute to ETL design and data movement between systems Gain hands-on experience with modelling tools such as ERWin, Sparx, or RSA Your Skills and Experience 2-4 years of experience in data modelling or data architecture Exposure to relational and dimensional modelling (3NF, star, snowflake) Strong SQL More ❯

and interpret data requirements Support metadata management, documentation, and governance activities Contribute to ETL design and data movement between systems Gain hands-on experience with modelling tools such as ERWin, Sparx, or RSA Your Skills and Experience 2–4 years of experience in data modelling or data architecture Exposure to relational and dimensional modelling (3NF, star, snowflake) Strong SQL 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 (eg, 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 ❯

Lloyds & London Insurance Sector with a good understanding of business Experience in data modeling, data architecture, or cloud data products delivery Strong experience with data modeling tools such as Erwin, ER/Studio, SqlDBM or SQL DB-native modelling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL More ❯

and best practices. The position involves analysing data flows, embedding metadata management, and supporting both structured and semi-structured data, including JSON and XML. Proficiency with Sparx Enterprise Architect, Erwin, PowerDesigner, or Visual Paradigm is key, alongside familiarity with SQL, Python, and financial data standards such as FIBO, FIX, or FpML. Drawing on your consulting background, you'll bring More ❯

and Experience 5+ years of experience in data modelling or architecture, ideally within financial services or consulting Strong knowledge of relational and dimensional design (3NF, star, snowflake) Proficient in ERWin, Sparx, or similar tools Experience working with semi-structured data (JSON, XML, Parquet) Excellent communication and client-facing skills More ❯

architecture within financial services or consulting Proven ability to engage in business development and revenue growth initiatives Strong stakeholder management and leadership skills Deep knowledge of data modelling tools (ERWin, Sparx, RSA) and modern data architectures Experience designing frameworks that support analytics, AI, and data science use cases More ❯

Skills: 10+ years of experience in Data Engineering Hands-on experience with PySpark, ADF, Databricks, SQL Strong understanding of dimensional modeling, normalization, schema design, and data harmonization Experience with Erwin and data modeling toolsExcellent communication, problem-solving, and client-facing skills Why Join Us: Work in a dynamic, collaborative environment Hands-on experience with cutting-edge Azure data engineering More ❯

understanding how data impacts business success A broad understanding of technical data management capabilities such as data modelling, integration, storage, etc. Awareness of data management tools and technologies (Purview, Erwin, Collibra, Informatica etc.). Qualifications or certifications in Data Management (e.g. DAMA) are helpful but not essential. Benefits That Put You First At Oakland, we believe in taking care More ❯

or application architecture, highlighting potential data impacts on scalability, performance, and integrity. Model Creation & Maintenance: Develop and maintain conceptual, logical, and physical data models using industry-standard tools (e.g., ERwin, PowerDesigner), covering relational and NoSQL modelling techniques. Requirements Translation: Work closely with stakeholders to understand business processes and translate them into efficient data structures and database designs. Data Landscape … relational databases, NoSQL stores, and cloud-based data platforms (e.g., Snowflake, Databricks). Experience: Proven experience in data modelling, architecture, or database design Proficiency with modelling tools such as ERwin, PowerDesigner, or similar Strong understanding of relational and NoSQL data structures Familiarity with data governance frameworks and metadata management Experience working with cloud data platforms and modern data ecosystems More ❯

standard and repeatable way Key skills Needed Hands-on experience in Data Architecture and Data modeling Property & Casualty domain experience is a MUST Proficiency with data modeling tools like Erwin Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines PROFILE • 10+ years of experience in hands-on design, engineering, administration, and implementation of comprehensive systems … concepts with hands-on experience in data modeling is required • Familiarity with P&C London market or specialty insurance data domains and terminology • Proficiency with data modeling tools like Erwin • Knowledge of data warehousing and ETL/ELT pipelines • Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions . • Industry certifications More ❯