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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 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.
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- 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 such as procedures and practices (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.
Join Our Team
Join our team as a Data Analyst where you will help transform data into a strategic asset for the bank. The ideal candidate will have a strong foundation in data engineering and a passion for creating efficient, scalable, and secure data solutions. By building and maintaining modern data platforms and collaborating with stakeholders across the business, you will enable trusted data access, support advanced analytical use cases, and contribute to delivering meaningful business outcomes.


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Essential Skills
- Strong Requirements Engineering & Agile Analysis: Eliciting, validating, and documenting BRDs/FRDs/user stories, Backlog refinement, feature mapping, supporting testing, Working within Agile frameworks.
- Domain Expertise in any banking stack: Core Banking, Onboarding, Payments, FX, Liquidity and Cash Management, etc. Having worked in a data mesh world or understanding concepts around data as a product.
- Agile Ceremonies & SAFe Program Events: Strong proficiency in writing epics, capabilities, features, and user stories with acceptance criteria that meet Definition of Ready/Definition of Done.
Highly Valued Skills
- Exposure to Broader Banking Product Stacks: Payments domain deep-dive, Core banking systems, ETL/reporting flows, Integration with middleware (Kafka, MQ, file-based patterns).
- Technical Awareness & Analytical Tools: SQL/data interpretation, Understanding of data models, interfaces, and system behaviour, Ability to support issue triage (defects, test cycles).
- Risk Management & Regulatory Awareness: Risk & Controls, Regulatory Reporting, Liquidity Risk.
You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital technology, as well as job-specific technical skills.
This role will be based out of the Glasgow office.
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