SC Cleared Lead Data Engineer (AI Buildout)

The Role:

Working as a Lead Data Engineer supporting the client's enterprise AI buildout. This role is responsible for leading the design and implementation of complex data flows, pipelines and integrations to enable advanced AI and automated workflow solutions.

Requirements:

• Develop and construct data products and services and integrate them into systems and business processes.
• Design and lead the implementation of data flows to connect operational systems, data for analytics and Business Intelligence (BI) systems.
• Establish data integration standards and lead the engineering of automated data pipelines, ETL/ELT workflows and API connections connecting enterprise SaaS and internal databases to AI applications whilst ensuring alignment with existing pipelines and standards.
• Recognise opportunities to re-use existing data flows
• Lead the build of data streaming systems
• Optimise the code to ensure processes perform optimally
• Lead work on database management
• Implement identity and access controls, including SSO, conduct data quality, sensitivity and access checks before indexing and ensure AI applications respect source system permissions.
• Act as the key bridge between technical engineering partners and business leads, interpreting data requirements and translating complex data risks into clear choices for stakeholders....