AI Data Engineer - KDB

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.

Build and maintain data architecture 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 and adhere 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.

Contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets and policies; manage and maintain policies and processes; deliver continuous improvements and escalation of breaches of policies and procedures. If managing a team, define jobs and responsibilities, plan the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions. Guide team members through structured assignments, identify the need for other areas of specialisation and train, guide and coach less experienced specialists to support long‑term organisational goals.

Demonstrate the Barclays values of Respect, Integrity, Service, Excellence and Stewardship. Demonstrate the Barclays mindset – Empower, Challenge and Drive. Display clear leadership behaviours:
Listen and be authentic, Energise and inspire, Align across the enterprise and Develop others. Advise key stakeholders, including functional leadership teams and senior management, on functional and cross‑functional areas of impact and alignment. Manage and mitigate risks through assessment in support of the control and governance agenda. Collaborate with other areas of work to keep up to speed with business activity and strategies.

We’re seeking an AI Data Engineer to lead on 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 seasoned engineer who has delivered impactful AI initiatives with demonstrable positive return on investment.
• Have previous experience working at the forefront of technological evolution, adapting as paradigms have shifted.
• Bring a clear vision for applying AI within front‑office trading systems, with a strong understanding of practical challenges and intricacies involved.
• Have hands‑on development experience with Python.
• Possess a deep understanding of front‑office trading workflows, low‑latency architectures, market data dynamics and the operational challenges of integrating AI into real‑time trading environments.
• Demonstrate a track record of evolving with emerging technologies and leading the adoption of new paradigms, with the ability to translate cutting‑edge AI capabilities into practical, production‑ready solutions.

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.