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 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.

Join us as a Data Entitlements Engineer - Market Data Platform at Barclays, where you'll spearhead the automation of data entitlements and license governance for our next-generation market data platform, leveraging Snowflake, Databricks, KDB, and AI-driven metadata to drive compliant data reuse and unlock significant cost efficiencies across Markets.

To be successful as a Data Entitlements Engineer - Market Data Platform, you should have:

Extensive hands-on experience designing and implementing data entitlements systems at enterprise scale, including policy creation, access controls, and entitlement workflows
Deep technical expertise with entitlements engines and access control frameworks (RBAC/ABAC), including implementation and troubleshooting across complex environments
Proven experience implementing entitlements across modern data platforms including Snowflake, Databricks, and KDB, with understanding of their native security models
Strong AWS cloud platform experience, particularly with IAM, Lake Formation, S3 bucket policies, and cloud-native security services

Some other highly valued skills may include:

Experience with Immuta or similar data access governance platforms for policy-based access control and automated compliance
Knowledge of market data workflows and vendor licensing models (Bloomberg, Refinitiv, ICE, etc.) and their entitlement requirements
Strong ability and willingness to collaborate with cross-functional teams across technology, business, compliance, and vendor management
Active interest in AI and machine learning applications for metadata management, policy recommendation, and entitlement optimization

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 will be based in our Prague office.