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
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
Create and maintain unit tests and integration tests for developed components
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
Experience with IBM MQ or JMS-based messaging
Knowledge of payment processing domain and creation of Data products in a Data mesh space.
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.
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.
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.
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
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 current directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
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.
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).Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
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.

📌 Data Scientist / Data Engineer (m/w/d) (Pune)
🏢 Barclays
📍 Pune