Data Engineer

Morgan McKinley; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A leading company in the tech industry is seeking a Data Engineer to join their team in London. In this role, you will develop and maintain data architectures and solutions, contributing to high-performance systems. You'll collaborate with teams and manage ETL processes, providing critical data insights. This contract role is set to last until August 2026, with a hybrid work model offering flexibility.

Qualifications

• Ability to work independently or as part of a team.
• Excellent communication skills.
• Knowledge in data management and ETL processes.

Responsibilities

• Design, construct, install, test and maintain scalable data management systems.
• Implement and automate large scale enterprise data ETL processes.
• Collaborate with team members to achieve project goals.

Skills

Team Collaboration

Communication

Data Architecture

Data Management Systems

ETL Processes

Education

Bachelor's degree in a technical field

Tools

Microsoft SharePoint

Job description

About the job

Exciting opportunity to work with a Big4 Tech Company as a Data Engineer, based in London, UK!

Data Engineer

Contract Length: 15th September - 31st August 2026

Location: London (3 days onsite, 2 days WFH)

Summary:

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 .

Qualifications:

* 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.