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Operational / Data Engineer - SC cleared
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Operational / Data Engineer - SC cleared
The location of the role is Telford (hybrid working). The duration of the contract is 6 months. The pay rate on offer is £500 per day (via Umbrella agency).
Project Overview
You will join a new Agile delivery team supporting the development and enhancement of a data risk and compliance platform. The project focuses on building automated data ingestion and risk assessment capabilities, integrating multiple data sources into a modern analytics environment.
The role will involve designing and delivering scalable data integration solutions, improving data flows and automation, and supporting the development of analytical capabilities to enable more effective risk identification and decision-making.
You will work within a collaborative Scrum environment alongside technical and business stakeholders, helping to deliver secure, reliable, and high-quality data solutions.
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Key accountabilities of the role
- Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS.
- Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms.
- Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions.
- Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement.
- Drive DevOps practices for CI/CD, automated testing, and deployment of data services.
- Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
- Ensure data quality, governance, and security standards are upheld across all solutions.
- Troubleshoot and resolve complex data issues and performance bottlenecks.
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Key skill and experience
- SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI).
- Platform LSF, Jira, Platform Support.
- GIT.
- Strong expertise in ETL tools: Pentaho, Talend.
- Experience with data virtualization using Denodo.
- Proficiency in SAS for data analytics and reporting.
- Oracle (good to have).
- Solid understanding of Agile and Scrum frameworks.
- Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes).
- Strong SQL and data modeling skills.
- Excellent problem-solving, communication, and leadership abilities.
Key Qualifications
- Proven track record of data projects and teams.
- Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.
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