At a Glance
- Tasks: Build next-gen analytics and AI-ready data platforms for trading and research.
- Company: Join Barclays, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, career development, and a dynamic work environment.
- Other info: Collaborate with diverse teams and grow your skills in a supportive culture.
- Why this job: Make an impact in AI and data engineering within a fast-paced trading environment.
- Qualifications: Experience with data pipelines and a passion for AI in finance.
The predicted salary is between 72000 - 88000 £ per year.
hackajob is collaborating with
Barclays to connect them with exceptional professionals for this role.
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 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.
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 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
- 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, 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.
The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
- OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required 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. '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 be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
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AI Data Engineer in London employer: Limelight Health
At Limelight Health, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a remote-first company, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for those passionate about driving technological advancements in healthcare. Join us to be part of a forward-thinking team that values your expertise and encourages you to lead the way in AI-driven solutions.
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We think this is how you could land AI Data Engineer in London
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We think you need these skills to ace AI Data Engineer in London
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