Data Engineer
Posted 1 day ago by Morgan McKinley
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Data Engineer role involves developing, evaluating, testing, and maintaining data architectures and solutions within the organization. The position requires executing plans and practices that enhance the value of the organization's data assets. The Data Engineer will design and maintain scalable data management systems and implement large-scale ETL processes. Collaboration with various teams and strong communication skills are essential for success in this role.
Key Responsibilities:
- Design, construct, install, test and maintain highly scalable data management systems.
- Ensure systems meet business requirements and industry practices.
- Design, implement, automate and maintain large scale enterprise data ETL processes.
- Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Key Skills:
- Ability to work as part of a team, as well as work independently or with minimal direction.
- Excellent written, presentation, and verbal communication skills.
- Collaborate with data architects, modelers and IT team members on project goals.
- Strong PC skills including knowledge of Microsoft SharePoint.
- Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
- Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Duration - 5 months
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.
Job Responsibilities:
- Design, construct, install, test and maintain highly scalable data management systems.
- Ensure systems meet business requirements and industry practices.
- Design, implement, automate and maintain large scale enterprise data ETL processes.
- Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
- Ability to work as part of a team, as well as work independently or with minimal direction.
- Excellent written, presentation, and verbal communication skills.
- Collaborate with data architects, modelers and IT team members on project goals.
- Strong PC skills including knowledge of Microsoft SharePoint.
Education/Experience:
- Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
- Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.