Data Engineer (BSL Job/ 35)

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 Data Engineer role, where you will be responsible for building and maintaining the systems that collect, store, process, and analyze data. Your work will ensure that all data is accurate, accessible, and secure. You will collaborate with data scientists and other stakeholders to build and deploy machine learning models and support data-driven decision-making within the organization. At Barclays, we don't just anticipate the future - we're creating it.

To be successful in this role, you should have below skills:

• Build and Maintain Data Architectures: Develop and maintain data pipelines that enable the transfer and processing of durable, complete, and consistent data 1.

• Design and Implement Data Warehouses and Data Lakes: Manage appropriate data volumes and velocity while adhering to required security measures 1.

• Develop Processing and Analysis Algorithms: Create algorithms fit for the intended data complexity and volumes 1.

• Collaborate with Data Scientists: Work closely with data scientists to build and deploy machine learning models 1.

Some other highly valued skills may include below:

• Building and maintaining scalable, reliable data pipelines

• Ensuring data durability, completeness, and consistency

• Designing and managing data storage solutions

• Handling large volumes and high-velocity data securely

• Creating efficient data processing and analysis algorithms

• Optimizing for complexity and performance

• Supporting data scientists in building and deploying ML models

• Providing clean, structured data for model training and inference

• Strong programming skills (e.g., Python, SQL, Scala)

• Familiarity with tools like Apache Spark, Kafka, Airflow, and cloud platforms (AWS, Azure, GCP)

• Ensuring data privacy, access control, and compliance with standards

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.

This role is based in our Pune office.