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 and More ❯
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 and More ❯
teams, and drive thought leadership SKILLS AND EXPERIENCE Required: 3–5+ years of experience in data modelling (consulting or financial services preferred) Strong experience with tools such as ERWin, Sparx, RSA, or Visio Strong SQL and data warehousing knowledge Hands-on experience with metadata and data governance frameworks Excellent stakeholder management and communication skills Nice to have: Experience working More ❯
alignment with governance 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 More ❯
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 ❯
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 ❯
