AI Data Engineer

3761 Barclays - BX - UK; Greater London; On-site; GBP 55,000 - 70,000; Full time

Job summary

3761 Barclays - BX - UK seeks an AI Data Engineer to build and maintain data systems, ensuring data accuracy and security. The role involves leading teams, collaborating on complex data challenges, and applying AI technologies.

Qualifications include experience with data pipelines and a background in financial services. This position is based in the London office, where a motivated approach to data engineering is essential.

Qualifications

• Foundational experience with data pipelines and emerging AI techniques.
• Experience in AI-related use cases in finance.
• Ability to manage risk in high-stakes environments.

Responsibilities

• Build and maintain data architectures and pipelines.
• Collaborate with data scientists on machine learning models.
• Lead and coach teams in achieving objectives.

Skills

Data pipelines

AI techniques

Collaboration

Complex data analysis

Understanding of financial services

Job description

Job Description

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 and 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.

Assistant Vice President Expectations

• 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.
• Demonstrate leadership behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
• 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.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external, 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, and the Barclays Mindset – to Empower, Challenge and Drive.

AI Data Engineer Specific Requirements

• 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.
• 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.

Location

This role is based out of our London office.