Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Data Engineering
Good to have skills : Microsoft SQL Server, Python (Programming Language), Snowflake Data Warehouse
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

1. Role Information
Position Title- Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.
Analyst Data Engineer Group #2Division- BPBDirect Team Name- Data and Analytics, Data Analytics & Strategy Execution
Reporting to People Leader Position- Manager, Data Engineering
Location- Vic2. Role Purpose Our purpose in the B&PB Data Engineering team is to develop and deliver the best-in-class data assets and data domain management for our Business and Private Banking customers and colleagues seamlessly and reliably every time. We are passionate about simplicity and meeting the needs of our stakeholders, whilst innovating to drive value.As a Data Engineer, you will bring strong expertise on data handling and curation capabilities to the team.You ll be responsible for building reusable datasets, improving the way we work in B&PB.Be a team player and contribute to the team s overall successCore Responsibilities Manage ETL Jobs, work closely with BPB reporting & business teams to ensure data requirements are met. Assist team with operational loads, translate business to technical requirements and work with Senior data engineers to deliver a solutionKey
Role Responsibilities - Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Actively engage in the development, testing, deployment, operation, monitoring and refinement of data services
Manage incidents/problems, apply fixes and resolve systematic issues triage issues with stakeholders and identify and implement solutions to restore productivity Risk Proactively manage risk, meeting all policy and compliance requirements perform controls adhere to process and procedures pertinent to role and escalate events, issues or breaches as they are identified (risk accountability forms part of all roles, as everyone is responsible for managing risk and compliance)Accountabilities Build relationships and collaborate with BPB teams to ensure delivery of activities and programs of work are aligned to the overall B&PB DNA Strategy. Deliver ETL pipelines for business requirements
Orchestrate data pipelines to ensure timely delivery of datasets
Translate business to technical requirementsPeople Accountability People Accountability Individual Contributor # Direct Reports 03. Role Knowledge & Technical Competencies The engineering gurus we seek are - Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
Minimum 1-2+ years experience in the same or similar role, with tertiary qualification in Computer Science or equivalent. Use critical thinking, network, skills, knowledge of available data to drive better outcomes for our customers and the bank
Continually looking for improvement Challenge the status quo, look for better ways of doing things and passionately advocate continuous improvement
Are team players - Recognise and value the different perspectives and skills each team member brings
Align to customer outcomes You demonstrate the ability to better understand the customer and define the problem and develop solutions that meet their needs.
The skills you bring with you:
Experience with design build and implementation experience on Data Engineering pipelines using SQL, Python , Airflow, Databricks (or Snowflake)
Experience with data solutions in Cloud (preferably with AWS) as well as on-premises assets like Oracle
Demonstrated capability with the development of and performance-tuning skills for RDBMS (e.g. Oracle, Teradata, Snowflake, Redshift etc) databases
Office Location:
NAB Innovation Centre India
DLF Downtown, 3rd Floor, Tower 3
DLF City Phase 3 Road, Sector 25A
Gurugram, Haryana 122002