AI Data Engineer

Purpose of the role: To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities:

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehouses 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 scientists to build and deploy machine learning models.

Expectations:

• 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.
• If the position has leadership responsibilities, demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
• For an individual contributor, lead collaborative assignments and guide team members through structured assignments, identifying the need for the inclusion of other areas of specialisation to complete assignments.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and develop 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 to solve problems creatively and effectively.
• Communicate complex information.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive.

We’re seeking an AI Data Engineer to support with building next-generation analytics and AI-ready data platforms on KDB+ that directly power trading, research, and risk use cases across Markets.

To be successful in this role you will:

• Be a motivated engineer with foundational experience with data pipelines, and emerging AI techniques.
• Hold previous experience contributing to AI-related use cases or pilots, and show a clear interest in how technology is evolving across front-office trading environments.
• Bring a learning mindset and an understanding of the challenges involved in applying AI responsibly within low-latency, high-risk trading systems.

Other skills that would be useful in this role include:

• Financial Services/Investment banking background.
• Timeseries, Front office trading tech experience.
• Experience collaborating with a wide range of stakeholders, including business, technology, and senior leaders.

You may be assessed on key critical skills relevant for success in the role, such as risk and controls, communication skills and interaction with a diverse range of stakeholders, as well as job-specific technical skills.

This role is based out of our London office.