Data Engineer

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 Engineer at Barclays, where you will spearhead the evolution of our data platforms and real-time processing capabilities, driving innovation and operational excellence. You will harness cutting-edge cloud and streaming technologies to build and manage scalable, resilient, and secure data solutions, enabling seamless delivery of our digital and data-driven services.

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

• Experience in Databricks with creation of data products, pipelines, scheduling jobs, etc. in AWS.

• Develop Kafka Streams, Spring Kafka, and Apache Flink applications for real-time event processing

• Implement parsers for various message formats: ISO 20022 XML, SWIFT MT, JSON, and flat files

• Build data transformation logic to flatten hierarchical messages into target AVRO schemas

• Implement stateful transformations including aggregations, joins, and windowed operations

• Integrate with source systems via IBM MQ and Kafka topics

• Write clean, testable, and well-documented code following established standards

• Create and maintain unit tests and integration tests for developed components

• Participate in code reviews and incorporate feedback constructively

• Troubleshoot issues using ELK stack and application logs

• Actively participate in Scrum ceremonies and collaborate with team members

• Strong proficiency and solid understanding of core concepts and modern features with cloud technologies such as Snowflake, AWS, Databricks.

• Hands-on experience with Spring Boot and Spring Framework

• Strong unit testing skills using JUnit 5 and Mockito

• Good understanding of data structures and algorithms

• Experience with Git and collaborative development workflows

Some other highly valued skills may include

• Experience with IBM MQ or JMS-based messaging

• Knowledge of payment processing domain and creation of Data products in a Data mesh space.

• Familiarity with ELK stack for logging and troubleshooting

• Experience with SWIFT parsing libraries (Prowide Core)

• Experience with Flink stateful processing, checkpointing, and state backends

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 of Pune.