Data Engineer
Posted 1 day ago by TXP
Negotiable
Undetermined
Undetermined
England, United Kingdom
Summary: The Senior Data Engineer role focuses on leveraging SAS expertise to develop data ingestion, transformation, and analytics solutions within a strategic enterprise-scale platform. The position requires hands-on experience with SAS tools and involves collaboration within a Scrum team to optimize data workflows and ensure high-quality data solutions. Candidates should possess strong analytical skills and be able to mentor junior engineers while supporting Agile delivery.
Key Responsibilities:
- Design, build, and maintain data ingestion and transformation pipelines using SAS tools.
- Integrate and consolidate data from multiple complex sources into enterprise analytics platforms.
- Translate business requirements into robust, scalable, and high-performing data solutions.
- Apply data quality, governance, and security best practices across all pipelines.
- Optimise workflows for performance and reliability.
- Troubleshoot complex data issues and provide sustainable solutions.
- Collaborate with cross-functional teams and mentor junior engineers.
- Support Agile/Scrum delivery, ensuring timely sprint delivery and continuous improvement.
Key Skills:
- Extensive hands-on experience with SAS 9.4 (DI) and SAS Studio.
- Experience with SAS Viya 4 and SAS RTENG is highly preferred.
- Strong SQL and data modelling skills.
- Proven experience building data pipelines in enterprise-scale environments with high-volume, complex datasets.
- Knowledge of ETL tools (Pentaho, Talend) and data virtualisation (Denodo) is desirable.
- Exposure to DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) is advantageous.
- Experience with Oracle is a plus.
- Strong analytical, problem-solving, communication, and leadership abilities.
- Experience working within Agile/Scrum delivery frameworks.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Senior Data Engineer – SAS SC clearance is highly preferred
Role Overview: We are seeking a Senior Data Engineer with strong SAS expertise to join a Scrum team delivering data ingestion, transformation, and analytics solutions within a strategic enterprise-scale platform. The platform integrates complex, high-volume data sources to enable advanced analytics, risk assessment, and operational decision-making. This role is ideal for candidates with hands-on experience in SAS 9.4 (DI) and SAS Studio. Experience with SAS Viya 4 and SAS RTENG is highly preferred but not mandatory.
Key Responsibilities:
- Design, build, and maintain data ingestion and transformation pipelines using SAS tools.
- Integrate and consolidate data from multiple complex sources into enterprise analytics platforms.
- Translate business requirements into robust, scalable, and high-performing data solutions.
- Apply data quality, governance, and security best practices across all pipelines.
- Optimise workflows for performance and reliability.
- Troubleshoot complex data issues and provide sustainable solutions.
- Collaborate with cross-functional teams and mentor junior engineers.
- Support Agile/Scrum delivery, ensuring timely sprint delivery and continuous improvement.
Skills and Experience:
- Extensive hands-on experience with SAS 9.4 (DI) and SAS Studio.
- Experience with SAS Viya 4 and SAS RTENG is highly preferred.
- Strong SQL and data modelling skills.
- Proven experience building data pipelines in enterprise-scale environments with high-volume, complex datasets.
- Knowledge of ETL tools (Pentaho, Talend) and data virtualisation (Denodo) is desirable.
- Exposure to DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) is advantageous.
- Experience with Oracle is a plus.
- Strong analytical, problem-solving, communication, and leadership abilities.
- Experience working within Agile/Scrum delivery frameworks.