Join Barclays as a Data & AI Engineer role, where you will support the enhancement of processes, reporting, and controls while contributing to the execution of BAU activities. At Barclays, we don't just anticipate the future - we're creating it.

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

• Basic to intermediate programming skills in Python.

• Foundational understanding of machine learning concepts and exposure to libraries such as scikit-learn, TensorFlow, or PyTorch.

• Familiarity with Git-based version control systems (e.g., GitHub, GitLab).

• Basic understanding of CI/CD concepts (e.g., Jenkins or GitHub Actions).

• Exposure to cloud platforms (preferably AWS S3, EC2, Lambda or similar services).

• Basic understanding of containerisation concepts (Docker preferred).

• Understanding of software engineering principles such as modular design, code readability, and testing.

• Willingness to learn AI/ML lifecycle concepts, including model development, training, and deployment.

Some other highly valued skills may include below:

• Exposure to data processing tools or platforms such as Snowflake, Databricks, or basic SQL.

• Familiarity with data engineering concepts (e.g., ETL pipelines, Airflow, or Spark basics).

• Awareness of Responsible AI principles, model interpretability, and governance fundamentals.

• Exposure to Generative AI concepts, including prompt engineering or frameworks like LangChain.

• Basic knowledge of API development and integration concepts.

• Understanding of DevOps fundamentals and software delivery pipelines.

• Strong problem-solving mindset and eagerness to learn new technologies.

• Good communication and collaboration skills.

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 Pune office.

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 organizations 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 meet the needs of stakeholders/ customers through specialist advice and support
• Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles.
• Likely to have responsibility for specific processes within a team
• They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate 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 manage own workload, take responsibility for the implementation of systems and processes within own work area and participate on projects broader than direct team.
• Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams.
• Check work of colleagues within team to meet internal and stakeholder requirements.
• Provide specialist advice and support pertaining to own work area.
• 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 all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams.
• Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise.
• Make judgements based on practise and previous experience.
• Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures.
• Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements.
• Build relationships with stakeholders/ customers to identify and address their needs.

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.