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Ai Data Engineer

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Barclays

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Location:
Czechia , Prague

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Join us as an AI Data Engineer at Barclays, where you'll spearhead enterprise AI enablement by engineering AI-ready data access patterns, implementing entitlement-aware integrations for LLM and agentic workflows, designing and maintaining MCP integrations aligned with firm‑wide governance.

Job Responsibility:

  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes
  • Collaboration with data scientist to build and deploy machine learning models
  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness
  • Collaborate closely with other functions/ business divisions
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
  • Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • Consult on complex issues
  • providing advice to People Leaders to support the resolution of escalated issues
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
  • Take ownership for managing risk and strengthening controls in relation to the work done
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively
  • Communicate complex information
  • Influence or convince stakeholders to achieve outcomes

Requirements:

  • Hands-on data engineering experience with a demonstrable focus on AI and machine learning use cases, including data pipeline design and optimization for AI consumption
  • Practical experience with Model Context Protocol (MCP), including implementation in personal or enterprise projects, and understanding of context construction and integration patterns (at least as part of personal projects)
  • Strong understanding of data entitlements, access controls, and governance frameworks, with ability to implement entitlement-aware systems that enforce desk-, book-, client-, and license-level constraints
  • Deep familiarity with AI/LLM concepts and terminology, including understanding of how large language models integrate with data, agentic workflows, and RAG (Retrieval-Augmented Generation) patterns

Nice to have:

  • Genuine enthusiasm and proactive drive to stay current in the rapidly evolving AI and data engineering space, with evidence of continuous learning and experimentation
  • Strong cross-functional collaboration skills with proven ability to work effectively with platform teams, AI engineers, business stakeholders, and governance teams
  • Experience with agentic AI systems and workflows, understanding how autonomous agents interact with data sources and make decisions
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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