5 of 5 Remote/Hybrid Contract SAS Jobs

Lead Data Engineer - Pyspark/AWS/Python/SAS - Financial Sector As a Lead PySpark Engineer, you will design, develop, and fix complex data processing solutions using PySpark on AWS. You will work hands-on with code, modernising legacy data workflows and supporting large-scale SAS … deliver production-ready data pipelines in a financial services environment. Essential Skills PySpark & Data Engineering Minimum 5+ years of hands-on PySpark experience. SAS to Pyspark migration experience Proven ability to write production-ready PySpark code. Strong understanding of data and data warehousing concepts, including: ETL/ELT, Data ...

across multiple environments. This includes managing release schedules, ensuring configuration integrity, and supporting testing and validation processes. The role demands strong technical expertise in SAS technologies and Oracle, as well as a deep understanding of configuration management and the software testing lifecycle. Key Responsibilities: Own and manage … ensure timely and quality releases. Maintain and enforce configuration management standards using manifest files and structured release artefacts. Oversee packaging and deployment of SAS DI code (SPKs) and Oracle artefacts (clear-text files). Support migration activities, particularly from SAS 9.4 to SAS Viya 4, using ...

across multiple environments. This includes managing release schedules, ensuring configuration integrity, and supporting testing and validation processes. The role demands strong technical expertise in SAS technologies and Oracle, as well as a deep understanding of configuration management and the software testing lifecycle. Key Responsibilities: Own and manage … ensure timely and quality releases. Maintain and enforce configuration management standards using manifest files and structured release artefacts. Oversee packaging and deployment of SAS DI code (SPKs) and Oracle artefacts (clear-text files). Support migration activities, particularly from SAS 9.4 to SAS Viya 4, using ...

modernisation project, transitioning legacy data workflows into a high-performance AWS cloud environment. This is a hands-on technical role focused on converting legacy SAS code into production-ready PySpark pipelines within a complex financial services landscape. Key Responsibilities Code Conversion: Lead the end-to-end migration of SAS … code (Base SAS, Macros, DI Studio) to PySpark using automated tools (SAS2PY) and manual refactoring. Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS. Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness. Quality Assurance: Implement clean coding principles ...

PySpark Developer (SAS & AWS) 12+ Month Contract | UK Fully Remote | Inside IR35 We're supporting a large-scale data and AI transformation programme. We are looking for an experienced Data & AI - LLM Model Developer with advanced PySpark and AWS expertise to help modernise complex Legacy data platforms. This … hands-on contract role where you'll play a key part in SAS-to-PySpark migration , building scalable, cloud-native data pipelines and delivering production-ready solutions in a regulated environment. What you'll be doing Designing, developing, and optimising PySpark-based data pipelines on AWS Converting Legacy SAS ...