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Solution Engineer – SAS & Credit Risk
About the client:
Our client is a leading consultancy delivering innovative solutions for complex financial environments. This role is pivotal in designing and engineering robust data solutions for credit risk and banking operations.
About the role:
We are seeking a Solution Engineer with deep expertise in SAS, SQL, and modern data platforms. You’ll design, implement, and optimise enterprise data products, collaborating closely with business and technology stakeholders to drive impactful outcomes in credit risk.
Key Responsibilities:
• Analyse business requirements, conduct impact analysis, and estimate effort for solution delivery.
• Design and implement cross-functional data solutions using SAS, Hadoop, Azure, and related technologies.
• Engineer data products for sourcing, quality, and enterprise reusability.
• Oversee technical documentation, governance, and solution alignment with design standards.
• Collaborate with business and tech leads to prioritise and deliver on requirements.
• Guide Agile teams in full-stack development and DevOps processes.
• Work with credit risk data, including reference data, metadata, and data lineage.
Required Experience:
• 5+ years in credit risk or banking environments.
• 10+ years in engineering business and technology solutions.
• 5+ years of advanced SQL and SAS (Base SAS, SAS/Macro, SAS DI Studio, SAS Enterprise Guide, SAS Management Console).
• Experience with Hadoop, Spark, Hive, HBase, Python, Java, Spring Boot, Git, Flink, CosmosDB, Akka, Scala, Synapse.
• Strong background in data warehousing, modelling, and integration tools (Informatica, Sterling).
• Familiarity with BI tools (IBM Cognos/TM1, Power BI, Tableau).
• Experience designing for cloud platforms, preferably Azure.
Desirable Skills:
• Data analysis and modelling expertise.
• Hands-on experience with Atlassian tools (JIRA, Confluence, BitBucket).
• Excellent communication and stakeholder engagement skills.
What’s on offer?
This is a 6-month rolling contract for a total of 2-3 years and is based in Sydney or Melbourne. You’ll play a key role in delivering high-impact data solutions in a dynamic, enterprise environment.
How to Apply
Please upload your CV to apply. Suitable candidates will be contacted with next steps. You may be required to complete selection criteria as part of the application process.
SAS Solution Engineer
| Job title : | SAS Solution Engineer |
| Contract type : | Contract |
| Location : | Sydney |
| Sectors : | |
| Salary : | $80 - $100 p/Hour Inclusive Super |
| Start date : | 2025-09-11 00:00:00 |
| Duration : | 12.00 Months |
| Job Reference : | V-55945 |
| Contact name : | Farbar Siddiq |
| Contact email : | farbars@whizdom.com.au |
| Job published : | 2 days ago |
About the client:
Our client is a leading consultancy delivering innovative solutions for complex financial environments. This role is pivotal in designing and engineering robust data solutions for credit risk and banking operations.
About the role:
We are seeking a Solution Engineer with deep expertise in SAS, SQL, and modern data platforms. You’ll design, implement, and optimise enterprise data products, collaborating closely with business and technology stakeholders to drive impactful outcomes in credit risk.
Key Responsibilities:
• Analyse business requirements, conduct impact analysis, and estimate effort for solution delivery.
• Design and implement cross-functional data solutions using SAS, Hadoop, Azure, and related technologies.
• Engineer data products for sourcing, quality, and enterprise reusability.
• Oversee technical documentation, governance, and solution alignment with design standards.
• Collaborate with business and tech leads to prioritise and deliver on requirements.
• Guide Agile teams in full-stack development and DevOps processes.
• Work with credit risk data, including reference data, metadata, and data lineage.
Required Experience:
• 5+ years in credit risk or banking environments.
• 10+ years in engineering business and technology solutions.
• 5+ years of advanced SQL and SAS (Base SAS, SAS/Macro, SAS DI Studio, SAS Enterprise Guide, SAS Management Console).
• Experience with Hadoop, Spark, Hive, HBase, Python, Java, Spring Boot, Git, Flink, CosmosDB, Akka, Scala, Synapse.
• Strong background in data warehousing, modelling, and integration tools (Informatica, Sterling).
• Familiarity with BI tools (IBM Cognos/TM1, Power BI, Tableau).
• Experience designing for cloud platforms, preferably Azure.
Desirable Skills:
• Data analysis and modelling expertise.
• Hands-on experience with Atlassian tools (JIRA, Confluence, BitBucket).
• Excellent communication and stakeholder engagement skills.
What’s on offer?
This is a 6-month rolling contract for a total of 2-3 years and is based in Sydney or Melbourne. You’ll play a key role in delivering high-impact data solutions in a dynamic, enterprise environment.
How to Apply
Please upload your CV to apply. Suitable candidates will be contacted with next steps. You may be required to complete selection criteria as part of the application process.