£42 Per hour
Undetermined
Remote
United Kingdom
Summary: The Data Engineer role focuses on developing, evaluating, testing, and maintaining data architectures and solutions within a big tech environment. The position requires the execution of plans and practices that enhance the value of the organization's data assets. This contract role is initially for 3 months and is remote. The ideal candidate will have experience in SQL and Python, along with strong communication skills and the ability to work both independently and as part of a team.
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): £42/hour
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Engineer – SQL + Python - Big tech sector experience
Contract Duration: 3 months initially
Pay: £40-42/hour
Location: Remote
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.