Negotiable
Inside
Hybrid
England, United Kingdom
Summary: The Data Engineer role involves designing, developing, and deploying data integration and transformation solutions using various tools such as Pentaho, Denodo, Talend, and SAS. The position requires collaboration with cross-functional teams to deliver reliable data solutions while promoting Agile methodologies and driving DevOps practices. Additionally, the role includes mentoring junior engineers and ensuring data quality and security standards are maintained. Active SC Clearance is mandatory for this position.
Key Responsibilities:
- Design, develop, and deploy data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS
- Architect and implement scalable data pipelines and services to support Business Intelligence and analytics platforms
- Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver reliable data solutions
- Promote Agile and Scrum methodologies, ensuring timely sprint delivery and continuous improvement
- Drive DevOps practices including CI/CD, automated testing, and deployment of data services
- Mentor and support junior engineers, encouraging technical excellence and innovation
- Ensure data quality, governance, and security standards are consistently maintained
- Troubleshoot and resolve complex data issues and performance bottlenecks
Key Skills:
- SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI) Platform LSF, Jira, platform support Git
- Strong experience with ETL tools such as Pentaho and Talend
- Experience with data virtualisation using Denodo
- Proficiency in SAS for data analytics and reporting
- Oracle (desirable)
- Solid understanding of Agile and Scrum frameworks
- Hands-on experience with DevOps tools and practices (eg, Jenkins, Docker, Kubernetes)
- Strong SQL and data modelling skills
- Excellent problem-solving, communication, and leadership abilities
- SC clearance
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Inside IR36 - Hybrid - Must have an active SC Clearance
Key Responsibilities
- Design, develop, and deploy data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS
- Architect and implement scalable data pipelines and services to support Business Intelligence and analytics platforms
- Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver reliable data solutions
- Promote Agile and Scrum methodologies, ensuring timely sprint delivery and continuous improvement
- Drive DevOps practices including CI/CD, automated testing, and deployment of data services
- Mentor and support junior engineers, encouraging technical excellence and innovation
- Ensure data quality, governance, and security standards are consistently maintained
- Troubleshoot and resolve complex data issues and performance bottlenecks
Key Skills
- SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI) Platform LSF, Jira, platform support Git
- Strong experience with ETL tools such as Pentaho and Talend
- Experience with data virtualisation using Denodo
- Proficiency in SAS for data analytics and reporting
- Oracle (desirable)
- Solid understanding of Agile and Scrum frameworks
- Hands-on experience with DevOps tools and practices (eg, Jenkins, Docker, Kubernetes)
- Strong SQL and data modelling skills
- Excellent problem-solving, communication, and leadership abilities
- SC clearance
Key Qualifications
- Proven track record delivering data projects and leading teams
- Certifications in Agile/Scrum, DevOps, or relevant data technologies are advantageous