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 Full Stack Data Engineer at Barclays, where you will design and build innovative applications and data solutions that enable secure data provisioning, masking, synthetic data generation, and test data management across the organization. You will work across the full technology stack, from backend services and APIs to frontend applications, while supporting DevOps practices and ensuring high standards of security, scalability, and reliability.

To be successful as a Full Stack Data Engineer, you should have experience with

Programming & Development

• Hands-on software development experience with strong analytical and problem-solving skills.

• Python (backend development using frameworks such as Django, Flask, or FastAPI).

• Advanced Oracle/SQL skills, including database design, query optimisation, and stored procedures.

• Frontend technologies such as React/Angular and JavaScript.

• RESTful API design and development.

• Shell scripting.

• Ability to write clean, maintainable, reusable, and well-documented code.

DevOps & Infrastructure

• CI/CD pipeline implementation and management.

• GitLab (version control, merge requests, and pipeline management).

• Unix/Linux environments and command-line operations.

• Chef (Cookbooks, Recipes, etc.).

• Experience in deployment automation, release support, and environment troubleshooting.

• Understanding of application monitoring, logging, and basic infrastructure support practices.

Data Skills

• Understanding of Data Masking and Data Anonymisation techniques.

• Experience with Synthetic Data Generation algorithms and methodologies.

• Experience working with structured data, relational databases, and large datasets.

• Competence in data modelling, schema design, data validation, and data quality controls.

• Ability to support secure data provisioning, transformation, and controlled data movement across environments.

• Awareness of data privacy and regulatory requirements, including GDPR and CCPA.

Some other highly valued skills may include:

• SonarQube, Wiz for code quality

• Understanding of Cloud platforms.

• Ability to work in Agile environments

• Knowledge of Unit and Integration testing

You may be assessed on 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.

The role is based out Pune.