Data Engineer | Enterprise AI Platform | Banking

Python | SQL | Big Query | Neo4j | Data Engineering | Knowledge Graphs

I'm working with a business investing heavily in enterprise AI, search and knowledge management capabilities. They're looking for a Data Engineer to help build the data foundations that sit behind large-scale AI and knowledge discovery platforms.

This is a hands-on engineering role focused on designing and delivering data pipelines, search infrastructure and knowledge management solutions that turn complex enterprise information into trusted, searchable and AI-ready assets.

• Designing and building scalable data ingestion and transformation pipelines across multiple enterprise data sources.
• Developing solutions that support AI, search, analytics and knowledge management use cases.
• Building and maintaining knowledge graph capabilities to model relationships across complex business data.
• Enhancing enterprise search and indexing performance to improve information discovery and retrieval.
• Implementing metadata, data quality and governance controls across large-scale datasets.
• Working closely with AI engineers, architects, data specialists and business stakeholders to deliver reliable data products.

• Strong data engineering experience using Python and SQL.
• Experience designing and supporting large-scale ETL or ELT pipelines.
• Exposure to modern cloud-based data platforms and distributed data architectures.
• Knowledge of search technologies, indexing solutions or information retrieval platforms.
• Understanding of data governance, lineage and metadata management principles.
• Ability to translate complex business requirements into scalable engineering solutions.

• £700-£800 per day, depending on experience and engagement model.
• Long-term programme delivering enterprise AI and data capabilities.
• Opportunity to work on cutting-edge search, knowledge and AI initiatives.
• High level of technical ownership and influence across platform design.