Data Engineer

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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 us as a Data Engineer at Barclays where you will spearhead the evolution of our data platforms and pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure data solutions, ensuring seamless delivery of our digital and analytics outcomes.

To be successful as a Data Engineer, you should have experience with:

• Experience in Data Warehousing / ETL / Data Integration projects, delivering end-to-end pipelines (ingestion, transformation, validation, and publish). 

• Strong SQL & PL/SQL skills – advanced SQL (strong in Teradata), with solid Data Modelling (dimensional / relational) and querying skills for data extraction, transformation, validation, and query performance tuning mindset.

• Scripting/programming (e.g., Unix Shell Scripting and PySpark/Python) to build reliable, testable pipelines; ability to write and debug shell scripts for job orchestration.

• Good understanding of AWS Cloud services for data engineering (e.g., S3-based data storage and cloud-native pipeline patterns), with awareness of security and controls required for enterprise data.

• Scheduling Tools: Familiarity with Tivoli Workload Scheduler (TWS) or similar.

• Testing & QA: Exposure to SIT, E2E, and OAT testing cycles; Should be able to write test cases and execute testing scenarios.

• Agile Delivery: Experience with JIRA for sprint planning, backlog grooming, and delivery tracking.

• Collaborate with architects, analysts, and QA teams to ensure data quality and system stability.

• Code reviews, peer testing, and production deployments.

• Strong communication skills.

• Maintain documentation and support audit and compliance requirements.

Some other highly valued skills may include:

• Hands on development with design and building of medium to large enterprise projects; strong ownership, troubleshooting and ability to work through complex data issues end-to-end.

• Experience in BI/Reporting tools (e.g., Business Objects / Power BI / Tableau) and supporting downstream reporting & analytics consumption.

• Familiarity with engineering ways of working: Agile/Scrum delivery, Jira, version control (Git), and CI/CD style release discipline for data pipelines.

• Knowledge of Banking domain and good awareness of risk, controls, data quality, and secure handling of sensitive data in regulated environments.

• GenAI‑assisted code generation and validation: Ability to use GenAI/copilot tools to generate and fix code issues, test cases, summarize logs and accelerate defect triage.

• Contribute to continuous improvement initiatives and automation efforts.

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.

The role is based out of Chennai.