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 ❯
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 ❯
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 ❯
