• Contribute to shaping the future of banking with state-of-the-art technology.
• Make a genuine difference through the work you do 
• You’ll be encouraged to experiment and find out where you excel 

We are currently on a lookout for a Solution Designer who will collaborate with cross-functional teams to design and implement advanced AI solutions. Leverage your expertise to drive data-driven decision-making processes. 
 
In this role you will..

• Designing end-to-end solutions to support GenAI use case experiments and pilots
• Design, develop, test, deploy, maintain and improve database/data marts
• Develop flowcharts, layouts and documentation to identify requirements & solutions
• Perform data governance and identify data gaps.
• Identify key insights from data and ensure data model meets client requirements.
• Produce specifications and determine operational feasibility
• Integrate software components into fully functional platform
• Apply pro-actively & perform hands-on design and implementation of best practice CI/CD
• Coaching & mentoring of other Service Team members
• Develop/contribute to data verification plans and quality assurance procedures
• Document and maintain data functionality and maintain strict data governance

What you will bring: 

• Technical experience (within financial services industry preferred)
• Hands on experience in application development and / or support roles
• Experience, knowledge and skills in Data Engineering, BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse/Lake House environment.
• Hands on programming experience in writing Python, SQL, Unix Shell scripts, Pyspark scripts, in a complex enterprise environment
• Designing end to end business / data solutions using Large Language Models and other GenAI related capabilities.
• Experience in configuration management using Ansible/Jenkins/GIT
• Hands on experience of using AWS Services - S3,EC2, EMR, SNS, SQS, Lambda functions, Redshift
• Hands on experience of building Data pipelines to ingest, transform on Databricks Delta Lake platform from a range of data sources - Data bases, Flat files, Streaming etc.
• Knowledge of Data Modelling techniques and practices used for a Data Warehouse/Data Mart application.
• Quality engineering development experience (CI/CD – Jenkins, Docker)
• Experience in Terraform, Kubernetes and Docker
• Experience with Source Control Tools – Github or BitBucket
• Exposure to relational Databases - Oracle or MS SQL or DB2 (SQL/PLSQL, Database design, Normalisation, Execution plan analysis, Index creation and maintenance, Stored Procedures) , PostGres/MySQL 

 A diverse and inclusive workplace works better for everyone 

We know that our people make us who we are. That's why we have built a culture of equity and respect – where everyone feels valued and appreciated for being their authentic selves. In partnership with our multiple Employee Resource Groups (ERGs) we continue to foster an inclusive environment, where all NAB colleagues’ unique backgrounds and identities are understood, respected, and celebrated.  We are committed to providing an environment where you can work your way.  

For details on the recruitment process, and accessibility, please visit www.nab.com.au/about-us/careers/apply-for-job.  To discuss adjustment requirements, please contact the NAB Careers team, via nab.careers@nab.com.au (please reference job number) or visit our Careers page through the link above for other contact options. 

Join NAB 

If you think this role is the right fit for you, we would love to hear from you. Please note candidate screening and interviews may be conducted prior to the closing date of the job advert. Unsolicited CVs from agencies will not be accepted.