Location: London, United Kingdom (Flexible hybrid working, with time on client site as required)
Qualifications and experience we consider to be essential for the role:
7+ years of professional experience designing and delivering enterprise data solutions: data warehouses, data platforms, data integration and data migration.
Experience supporting pre-sales activity in a consulting services organisation: solution shaping, estimation, and contribution to proposals or RFP responses
3+ years of experience working with Banking & Capital Markets organisations (e.g. retail banking, commercial banking, lending, payments, markets and wealth management) or Energy, Utilities and Travel organisations, either within a consulting services environment or directly in industry.
Hands-on experience architecting solutions on at least one major cloud data platform (e.g., AWS, Azure, GCP, Databricks, Snowflake), including data pipeline and integration design.
Strong data modelling capability across conceptual, logical and physical models, with practical experience of data quality, metadata and governance design.
A working understanding of AI and generative AI, including how AI solutions depend on data foundations (e.g., data for RAG and retrieval, metadata and lineage for governed AI use) and how AI capabilities are being applied within data management.
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