7 of 7 Permanent ERwin Jobs in England

large-scale data pipelines, data warehousing and Lakehouse technologies. Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience ...

large-scale data pipelines, data warehousing and Lakehouse technologies. Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience ...

Requirements: 8+ years’ experience designing and implementing enterprise data architectures in P&C insurance Strong hands-on experience in data modelling, including using Erwin Strong background in London Market/Specialty Insurance data domains Proficient in Azure Data Factory and Databricks, including pipeline design and orchestration Solid understanding ...

environments. Exposure to Microsoft Fabric, Azure Data Services or modern cloud data platforms would be advantageous. Experience using modelling tools such as Sparx EA, Erwin or Collibra. Strong stakeholder management and communication skills. Ability to balance business requirements with robust architectural design principles. Passion for shaping long-term data ...

/or validated/cleaned using Programming Languages such as Java, JavaScript, or Python. Experience in Data Modelling and Architecture tools such as ERwin, Power Designer, and/or Magic Draw or wider use of UML tools or IDEs that integrate modeling tools such as Eclipse. Advanced knowledge ...

with Snowflake or other modern cloud data platforms. Exposure to Salesforce or similar customer-facing platforms. Experience using enterprise data modelling tools such as Erwin or equivalent. Background within regulated industries such as financial services, insurance or wealth management. Previous experience as a Senior Data Engineer with significant architectural ...

experience within insurance, reinsurance, or financial services Deep knowledge of GDPR, AI governance, and model risk frameworks Experience with governance tooling (e.g., Collibra, Purview, Erwin) Strong understanding of AWS‐based data ecosystems Proven ability to influence across technical and business stakeholders Sponsorship We are unable to sponsor or take ...