Business Intelligence/User Interface Engineer (InfoLab)

Embark on a transformative career journey as Business Intelligence (BI)/ User Interface (UI) Engineer (InfoLab) at Barclays, within the Global Treasury Coverage (GTC) team, where you will design, develop, and support enterprise grade business intelligence and Data Analytics solutions using Tableau and Power BI, enabling data driven decision making across IB.

The role requires strong expertise in data modelling, visualization, performance optimization, and governed analytics, operating within a regulated financial services environment.

Working closely with data engineering, product owners, business stakeholders, and platform teams to deliver scalable, secure, and high-quality dashboards and reports aligned with enterprise BI standards.

Key responsibilities:

• Design and build interactive dashboards and reports using Tableau Desktop / Tableau Cloudand Power BI Desktop / Service aligned to enterprise visualization standards.
• Translate complex business needs into clear analytical solutions using appropriate BI patterns.
• Develop semantic models and reusable datasets to support self-service analytics.
• Implement calculated fields, parameters, filters, and DAX / Tableau calculations as required.
• Design and optimize star / snowflake schemas and multi fact models for analytical consumption.
• Partner with data engineering teams to source data from data warehouses, data lakes, and APIs.
• Ensure data accuracy, consistency, and efficient query performance
• Apply governance, security like Row‑Level Security (RLS), and compliance standards across BI platforms.
• Publish, maintain, and maintain content on Tableau Server / Tableau Cloud and Power BI Service.
• Collaborate with stakeholders to refine requirements and promote best practices in data visualisation.

This role is ideal for someone with strong expertise in data modelling, visualisation, and performance optimisation, who enjoys working at the intersection of data, technology, and business impact.

To be successful as a BI/UI Engineer (InfoLab), you should have:

• Strong hands-on experience with Tableau (Desktop, Server/Cloud) and Power BI (Desktop, Service).
• Solid understanding of data modelling and BI architecture concepts.
• Proficiency in SQL for data analysis and validation.
• Experience with Power BI DAX and Tableau calculations.
• Familiarity with enterprise data platforms (cloud or on prem).
• 5+ years of experience in Business Intelligence, Analytics, or Data Engineering roles.
• Experience delivering BI solutions in large, complex organizations (financial services preferred).
• Proven ability to work in regulated, governed data environments.

Other highly valued skills include:

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to balance delivery speed with quality, governance, and control.
• Exposure to Tableau Prep, Power Query, or data transformation tools.
• Familiarity with CI/CD for BI, version control, and release management.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in London, with a hybrid working model of working a minimum of 2 days per week in the 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.