SAS Developer
Posted 4 days ago by Diatom Technologies
Negotiable
Undetermined
Hybrid
England, United Kingdom
Summary: The Senior SAS Data Engineer role focuses on supporting enterprise-scale banking and financial services data initiatives, requiring a hands-on SAS specialist with extensive experience in SAS programming and data engineering. The position involves collaboration with various teams to ensure end-to-end delivery from development to production. The ideal candidate will have a strong background in regulated environments and be adept at managing complex data processes. This is a contract position based in the UK with hybrid or remote working arrangements depending on project needs.
Key Responsibilities:
- Design, develop, and maintain enterprise-grade SAS programs using Base SAS, SAS SQL, Data Step programming, and SAS Macros
- Write extensive SAS code to automate processes, reports, and model scoring
- Build, optimise, and manage ETL / ELT pipelines in SAS
- Set up and manage scoring processes, including SAS Scoring Accelerator for Hadoop
- Work with large, complex banking datasets across Hadoop and relational data platforms
- Create and manage data layers and data models within the Hadoop ecosystem
- Partner with Insights, Modelling, and Reporting teams to deploy jobs into production
- Coordinate with corporate systems and platform administrators on cross-domain issues
- Perform post-deployment sanity checks to ensure production stability
- Schedule and manage production jobs using SAS Management Console, Unix shell scripting, and Cron
- Actively manage end-to-end job flows, monitoring failures and resolving defects
- Apply strong knowledge of SAS merge techniques, Set statements, Formats, and Informats
- Perform data quality checks, reconciliation, and validation
- Provide alternate, efficient technical solutions where applicable
- Report execution results to Strategy and Implementation teams
- Work with business partners to resolve defects and ensure timely closure
- Maintain clear technical documentation and support data governance standards
Key Skills:
- 8–10 years of strong, hands-on SAS programming experience
- Advanced expertise in Base SAS, SAS SQL, SAS Macros, and Data Step programming
- Experience with SAS Management Console and production job scheduling
- Practical experience using Unix shell scripting and Cron
- Strong experience in ETL, data extraction, cleansing, transformation, and loading
- Experience working with Hadoop-based data environments
- Strong SQL skills and experience with relational databases (e.g. Oracle)
- Proven experience in banking or financial services environments
- Strong understanding of risk, regulatory, credit, or reporting data
- Ability to understand business requirements and use cases and translate them into technical solutions
- Strong written and verbal communication skills
- Self-driven, delivery-focused, and deadline-oriented
- Experience with SAS Viya implementations or migrations (desirable)
- Experience with Google Cloud Platform (BigQuery, Datalab) (desirable)
- Experience with Talend or other ETL tools (desirable)
- Exposure to CI/CD pipelines and modern development practices (desirable)
- SAS Certified Base Programmer or SAS Certified Advanced Programmer (preferred, not mandatory)
- Bachelor’s degree or equivalent professional experience
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Banking / Financial Services
Senior SAS Data Engineer – Banking / Financial Services (Contract)
Location: UK (Hybrid / Remote depending on project needs)
Contract Type: Contract
Industry: Banking / Financial Services
Role Overview
We are seeking a Senior SAS Data Engineer to support enterprise-scale banking and financial services data, risk, and regulatory initiatives . This is a replacement role requiring a hands-on SAS specialist with strong experience across SAS programming, data engineering, production deployment, and model scoring in regulated environments. The role works closely with Insights, Modelling, Reporting, Strategy, and Implementation teams , supporting end-to-end delivery from development through production.
Key Responsibilities
- Design, develop, and maintain enterprise-grade SAS programs using Base SAS, SAS SQL, Data Step programming, and SAS Macros
- Write extensive SAS code to automate processes, reports, and model scoring
- Build, optimise, and manage ETL / ELT pipelines in SAS
- Set up and manage scoring processes , including SAS Scoring Accelerator for Hadoop
- Work with large, complex banking datasets across Hadoop and relational data platforms
- Create and manage data layers and data models within the Hadoop ecosystem
- Partner with Insights, Modelling, and Reporting teams to deploy jobs into production
- Coordinate with corporate systems and platform administrators on cross-domain issues
- Perform post-deployment sanity checks to ensure production stability
- Schedule and manage production jobs using SAS Management Console , Unix shell scripting , and Cron
- Actively manage end-to-end job flows , monitoring failures and resolving defects
- Apply strong knowledge of SAS merge techniques, Set statements, Formats, and Informats
- Perform data quality checks, reconciliation, and validation
- Provide alternate, efficient technical solutions where applicable
- Report execution results to Strategy and Implementation teams
- Work with business partners to resolve defects and ensure timely closure
- Maintain clear technical documentation and support data governance standards
Essential Skills & Experience
- 8–10 years of strong, hands-on SAS programming experience
- Advanced expertise in Base SAS, SAS SQL, SAS Macros, and Data Step programming
- Experience with SAS Management Console and production job scheduling
- Practical experience using Unix shell scripting and Cron
- Strong experience in ETL, data extraction, cleansing, transformation, and loading
- Experience working with Hadoop-based data environments
- Strong SQL skills and experience with relational databases (e.g. Oracle )
- Proven experience in banking or financial services environments
- Strong understanding of risk, regulatory, credit, or reporting data
- Ability to understand business requirements and use cases and translate them into technical solutions
- Strong written and verbal communication skills
- Self-driven, delivery-focused, and deadline-oriented
Desirable / Nice to Have
- Experience with SAS Viya implementations or migrations
- Experience with Google Cloud Platform (BigQuery, Datalab)
- Experience with Talend or other ETL tools
- Exposure to CI/CD pipelines and modern development practices
- SAS Certified Base Programmer or SAS Certified Advanced Programmer (preferred, not mandatory)
- Bachelor’s degree or equivalent professional experience
Important Note
This role is intended for senior SAS professionals with strong banking or financial services experience , comfortable working hands-on in complex, regulated data environments .