Barclays Hiring Data Engineer (Pune) | Apply Online 2026

Job Description

Purpose of the Role

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

Accountabilities

• Develop and maintain data architecture and pipelines that support the transfer and processing of reliable and consistent data.
• Design and implement data warehouses and data lakes capable of handling required data volumes and velocity while meeting security standards.
• Create data processing and analysis algorithms suited to the complexity and scale of the datasets.
• Work closely with data scientists to support the development and deployment of machine learning models.

Analyst Expectations

• Carry out assigned activities within deadlines while maintaining high quality and continuously seeking improvements.
• Apply strong technical knowledge and practical experience in the designated area of expertise.
• Maintain a solid understanding of the key principles and concepts relevant to the role.
• Lead or guide team members where required, supporting professional development and coordinating work allocation.
• People leaders should demonstrate leadership behaviours that support collaboration and high performance: Listen and be authentic, Energise and inspire, Align across the enterprise, and Develop others.
• Individual contributors are expected to strengthen technical expertise and act as advisors when appropriate.
• Influence work across related teams and collaborate with other functions and business areas.
• Take accountability for the results of team operational processes and activities.
• Escalate policy or procedure breaches appropriately and help embed updated processes introduced for risk mitigation.
• Provide informed guidance and influence decisions within the area of expertise.
• Take ownership of risk management and strengthen controls within assigned responsibilities while following relevant regulations and conduct standards.
• Continuously build knowledge of how the sub-function integrates with the broader function and understand the organisation's products, services, and processes.
• Evaluate factual information carefully and make informed judgements.
• Resolve problems by applying technical experience and referencing established practices.
• Communicate complex or sensitive information clearly and guide team members when necessary.
• Act as a point of contact for stakeholders beyond the immediate team and build a wider professional network.

All colleagues are expected to demonstrate the Barclays values of Respect, Integrity, Service, Excellence, and Stewardship. They should also follow the Barclays mindset of Empower, Challenge, and Drive in their daily work.

In this role, you will contribute to the evolution of Barclays' digital capabilities by developing reliable technology solutions. The position involves working with engineers, business analysts, and stakeholders to understand requirements and deliver high quality data solutions while addressing complex technical challenges.

Required Technical Experience

• Strong understanding of ETL tools such as Ab Initio and working knowledge of Unix.
• Experience with SQL, Python, or other programming languages.
• Exposure to big data technologies such as Hadoop and Spark.
• Experience with cloud platforms, particularly AWS. Knowledge of PySpark and AWS services is beneficial.

Additional Preferred Skills

• Ability to work with complex datasets and develop algorithms for data processing and analysis.
• Bachelor's degree in Computer Science, Information Technology, or a related discipline. Relevant certifications such as IBM Certified Data Engineer or Google Certified Professional are beneficial.