Data Engineer
Barclays · Posted Oct 21
Banking, credit card, corporate, investment banking, and wealth management services
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About the role
Barclays is a global bank, and this role sits within a team responsible for evolving the bank's data platforms and real-time processing capabilities to support its digital and data-driven services. The work centres on cloud and streaming technologies, including Databricks, AWS, Snowflake, Kafka, Flink, and Spring Boot, with real-time event processing for payment message formats such as ISO 20022 XML and SWIFT MT. The role is based in Pune and involves building and maintaining scalable, resilient, and secure data pipelines, transformation logic, and data products.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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
Preferred qualifications
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About Barclays
Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.
- Industry
- Banking
- Company size
- 93000+ employees
- Founded
- 1690
- Location
- London, United Kingdom
- Funding stage
- Public Company
Leadership
Group Chief Executive
Group Finance Director
Group Chief Operating Officer
Recent coverage
The Guardian
Barclays to cut 5,000 jobs as AI replaces roles2026-10-22
Investing.com
Barclays Q3 2026 slides show mixed results, on track for targets2026-10-22
Euronews
Barclays cuts 5,000 jobs as net profit grows 13% in Q32026-10-22