Barclays Hiring Data Engineer in Bengaluru | Apply Now

Job Description

Purpose of the Role

The role focuses on building and maintaining systems that collect, store, process, and analyse data. This includes developing data pipelines, data warehouses, and data lakes to ensure information remains accurate, accessible, and secure.

Accountabilities

• Develop and maintain data architecture and pipelines that enable the reliable transfer and processing of consistent and durable datasets.
• Design and implement data warehouses and data lakes capable of managing required data volumes and speed while meeting security standards.
• Create processing and analytical algorithms suitable for the scale and complexity of the data.
• Collaborate with data scientists to support the development and deployment of machine learning models.

Analyst Expectations

• Complete assigned tasks on time while maintaining a high standard of quality and continuously improving processes.
• Apply strong technical knowledge within the assigned area of expertise.
• Demonstrate a solid understanding of key principles and concepts relevant to the role.
• Where leadership responsibilities exist, guide team members, allocate work, and support professional development.
• People leaders are expected to model the LEAD behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
• Individual contributors should deepen their technical expertise and act as advisors when appropriate.
• Influence and support the work of related teams while collaborating with other functions and business areas.
• Take ownership of operational outcomes and escalate policy or procedure breaches when required.
• Support the implementation of new policies or procedures introduced for risk mitigation.
• Provide informed guidance and influence decisions within the area of expertise.
• Manage risk and strengthen controls in work activities, ensuring compliance with relevant rules, regulations, and codes of conduct.
• Maintain awareness of how the sub-function connects with broader organisational products, services, and processes.
• Demonstrate understanding of how different areas coordinate to achieve business objectives.
• Make evaluative decisions based on factual analysis and attention to detail.
• Resolve issues by applying technical experience and referencing established practices.
• Communicate complex or sensitive information and guide team members when needed.
• Build relationships with stakeholders and act as a point of contact outside the immediate team.

All colleagues are expected to demonstrate Barclays values: Respect, Integrity, Service, Excellence, and Stewardship. They should also reflect the Barclays mindset of Empower, Challenge, and Drive.

As a Data Engineer at Barclays, you will contribute to the evolution of infrastructure and deployment pipelines. The role involves using modern technologies to build and maintain scalable, secure infrastructure that supports reliable delivery of digital solutions.

Required Technical Experience

• Hands-on experience developing datasets using SQL tools such as SQL or Snowflake.
• Strong capability in writing and optimizing SQL queries.
• Experience working with scripts such as .bteq in Unix or Linux environments.

Additional Skills

• Exposure to cloud platforms such as AWS or Azure.
• Familiarity with Tableau for data visualisation.
• Working knowledge of PySpark.

Candidates may be evaluated on skills related to risk management, change and transformation, business awareness, strategic thinking, and digital technology capabilities.