Senior R&D Infrastructure and Data Engineer

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

• 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 Barclays as a Senior R&D Software and Data Engineer where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. In this role, you will be an integral part of our Cyber Fraud Fusion Centre, delivering scalable CFFC services to disrupt and prevent upstream economic crime.

To be successful as a Senior R&D Software and Data Engineer, you will need the following: ​

• Experience working as cloud engineer in global organisation, covering broad spectre of architectures including deployment of GUI applications, data transformation, automation and data storage solutions. Demonstrated ability to coach software and data engineers to deliver complex projects under consistent deliver process (e.g. CI/CD)
• Broad experience in AWS Cloud technology including management and governance tools (e.g. Lambda, Auto Scaling, VPC, EC2, KMS, IAM, CloudFormation, CloudWatch, S3, RDS, Glue, Athena,  Lake Formation, Redshift), and knowledge in Databricks and Snowflake
• Experience supporting analytics use cases from ML Ops and data hydration perspective
• Ability to drive the projects technically to completion, identify risks, costs , challenge architecture and  long-term sustainability
• Understands different project methodologies, project lifecycles, major phases, dependencies and milestones within a project, and the required documentation needs. Ability to collaborate across teams to deliver complex systems and components and manage stakeholder’s expectations well

Some other highly valued skills may include: ​

• ML Ops experience on on-prem and cloud platforms
• Knowledge of latest social engineering tactics used by cybercriminals, particularly in the scams and frauds spaces
• Experience processing real-time events data at scale
• Practical understanding of full stack web development
• Experience working in fraud technology function

​

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.

The successful candidate can either be based in Pune.