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 maintain data architectures and pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implement data warehouses and data lakes that manage the appropriate data volumes and velocity while adhering to the required security measures. Develop processing and analysis algorithms fit for the intended data complexity and volumes. Collaborate 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 and 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, appraise performance relative to objectives and determine reward outcomes.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. If this is an individual contributor role, you will lead collaborative assignments and guide team members through structured assignments, identify the need for inclusion of other areas of specialisation to complete assignments, identify new directions for assignments and/or projects and develop cross‑functional methodologies or practices.
Consult on complex issues; provide advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and develop new policies and 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, requiring an understanding of how areas coordinate and contribute to achieving organisational objectives. Collaborate with other areas of work for business aligned support to keep up to speed with business activity and strategy. Engage in complex analysis of data from multiple sources, internal and external, to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
LEAD Behaviours
* Listen and be authentic
* Energise and inspire
* Align across the enterprise
* Develop others
Role Summary
We’re seeking an AI Data Engineer to support building next‑generation analytics and AI‑ready data platforms on KDB+ that directly power trading, research, and risk use cases across Markets.
Success Criteria
* 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.
Additional Skills
* 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
Select Skills and Assessment
You may be assessed on key critical skills relevant for success in this role, such as risk and controls, communication skills and interaction with a diverse range of stakeholders, as well as job‑specific technical skills.
Location
This role is based out of our London office.
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