Software 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 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 Software Solutions: Develop and maintain applications, services, and APIs that are reliable, scalable, and secure.
• Design and Implement Data and Application Platforms: Manage data, application components, and integrations while adhering to required security measures.
• Develop Processing and Analysis Components: Create software components and algorithms fit for the intended business requirements, complexity, and data volumes.
• Apply AI and Automation Technologies: Support the development and integration of AI-powered features, intelligent automation, and machine learning capabilities where appropriate.
• Collaborate Across Teams: Work closely with software engineers, data scientists, product owners, and other stakeholders to deliver high-quality solutions.

Some other highly valued skills may include below:

• Building and maintaining scalable, reliable software applications and services.
• Supporting data pipelines and integrations that ensure data durability, completeness, and consistency.
• Designing and managing application and data storage solutions
• Handling large volumes of data securely and efficiently.
• Creating efficient processing and analysis algorithms.
• Optimising solutions for complexity, performance, and maintainability.
• Supporting data scientists in building and deploying ML models.
• Integrating AI and machine learning capabilities into software solutions.
• Good programming skills (e.g. Python, Java, C#, SQL, or Scala).
• Familiarity with tools and platforms such as Git, CI/CD pipelines, Apache Spark, Kafka, Airflow, and cloud platforms (AWS, Azure, GCP).
• Awareness of AI-assisted development tools and modern software engineering practices.
• 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.