13 of 13 SAS Jobs in London

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 ...

traditional software application development using C#, Blazer and SQL Server integrating with Dynamics Business Central, and the Data team provide analytics and insights using SAS, MicroStrategy and Power BI. The new model is to continue with a .NET tech stack, but the team will build and run so developing ...

should have: A strong academic background in Mathematics, Statistics, Economics, or a related field. Proficiency in data analysis tools and programming languages such as SAS,SQL, & Python . Experience with Amazon Quick site & AWS Redshift. Experience in working with large datasets and data visualisation tools and strong MS Excel ...

following areas: E-Discovery and Digital Forensics; Payments; Fraud - (AML/CTF, Investigation, CFE’s etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA’s PM’s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/ ...

team Understanding of the latest fraud regulations specifically the PSR APP Reimbursement regulations Experience working with fraud technologies such as Feedzai, Featurespace, Falcon, Actimize, SAS, Quantexa etc Experience either delivering, presenting, or using fraud analytics outputs to help inform policy or action against fraud Experience or knowledge of agile ...

Kubernetes experience (ideally AKS, but equivalent experience considered) Experience working with DevOps practices and CI/CD pipelines Coding experience (e.g. Python, SQL, R, SAS, or similar) Experience working in secure or highly regulated environments Ability to work independently, take ownership, and use your initiative A numerate or technical … Level 4, or equivalent experience Excellent communication and stakeholder management skills Desirable (Nice to Have) Experience migrating or modernising legacy platforms Exposure to SAS tools and/or SAS administration Familiarity with information security standards and controls Experience working in Agile delivery environments (Scrum, SAFe, etc.) Previous consulting ...

Data Analyst Management experience Deep experience as a Data Analyst (this position is about 70% Data Analysis, 30% Leadership) Strong legacy tech experience – SPSS, SAS, Tableau etc (this is all tech that they are looking to consolidate into a more modern Databricks platform) Strong leadership skills (this is very ...

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 Engineer Lead As the Technical Lead, you will drive the high-stakes migration of legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn't just a lift and shift you will refactor complex procedural logic into scalable, production-ready distributed pipelines … Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring. Performance Tuning: Optimise Spark execution (partitioning, shuffling, caching) to ensure cost ...

PySpark Engineer Lead As the Technical Lead, you will drive the high-stakes migration of legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn't just a lift and shift you will refactor complex procedural logic into scalable, production-ready distributed pipelines … Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring. Performance Tuning: Optimise Spark execution (partitioning, shuffling, caching) to ensure cost ...

Role: Join our client as a Lead PySpark Engineer to modernize legacy data workflows. You will lead the hands-on transition of complex SAS environments into scalable, AWS-native PySpark pipelines for a major financial services project. What You'll Do Modernize: Convert legacy SAS code into production … Warehousing (SCDs, Facts/Dimensions). AWS (Expert): Strong proficiency in S3, EMR, Glue, Athena, and IAM. Experience with Git-based CI/CD. SAS (Working Knowledge): Ability to read and debug Base SAS/Macros to translate logic into Python. Engineering: Strong Python skills with a focus ...

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 ...

lending - Experience within either: Product Modelling, Customer Modelling or Credit Risk Modelling - Must have experience building models in Python within industry - Prior experience using SAS and involvement within migrations from SAS to Python would be highly desirable Please drop me a message or an email if this ...