Payments Data Lead Engineer

Join us as Payments Data Lead Engineer where you will be accountable for driving engineering excellence across critical Payments data workflows, ensuring secure, compliant, and high‑quality data movement for Data as a Service (DaaS) team. The role blends deep hands‑on data engineering with strong operational leadership, covering data provisioning, production readiness, automation, governance alignment, and cross‑team coordination. You will partner with cross‑functional engineering, infrastructure, governance, and controls teams while driving automation, strengthening resiliency, and ensuring compliance with internal security, audit, and data‑handling standards. This role combines engineering depth with operational excellence — suitable for someone who can design scalable data workflows, lead complex data operations, and drive improvements across end‑to‑end data ecosystems.

To be successful as a Payments Data Lead Engineer , you should have experience with:

• Corporate and Payments domain knowledge in one or more core banking product platforms/systems such as Payment Engines, accounting and clearing, Digital banking, Customer & risk systems, etc.

• Knowledge of Payment processing engine (High Value, Low Value), Payment Message Schemes across UK, US, and EU regions (SWIFT, FED, CHIPS, ISO, PAIN, PACS, CHAPS, BACS, FPS etc).

• Analyse End-to-End Payments data flows, identify data quality issues, and suggest/implement corrective and preventive controls for straight through processing.

• Expertise with hands‑on experience with Oracle Database and PL/SQL based data solutions (procedures, packages, performance tuning) supporting Payments processing, reporting, and downstream consumption.

• Having strong working knowledge of Oracle/SQL DB exports/imports, data movement, performance tuning, query optimization, user and schema provisioning, privilege management, and account lifecycle operations.

• Strong working knowledge of Linux and Shell scripting for automation, batch processing, job scheduling, monitoring, and incident resolution.

• Exposure to Data Masking, Data Anonymisation, or Test Data Management concepts.

• Good understanding of Data Governance, GDPR, and data privacy controls.

• Support production issues with strong root‑cause analysis and drive long‑term stability improvements.

• Own production readiness across data platforms, including monitoring, operational documentation, capacity baselines, and resiliency measures.

• Collaborate with engineering, infrastructure, and governance teams to ensure smooth delivery of data initiatives and cross‑domain integrations.

Some other highly valued skills may include:

• Experience supporting data‑intensive applications in a regulated banking environment.

• Drive incident & change management, ensuring strong controls, operational stability, and adherence to organizational standards.

• Oversee environment readiness, access provisioning, support models, and service health reporting in line with audit and control expectations.

• Provide technical leadership during escalations, ensuring timely resolution and identifying long‑term engineering improvements.

• Introduce and scale automation frameworks to reduce manual effort, improve stability, and streamline operational processes.

• Experience with GitLab or similar version control / CI‑CD tools, with ability to work in Agile delivery models. 

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.

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.