Data Engineer – SQL + Python - Big tech sector experience

JR United Kingdom; Slough; Remote; GBP 40,000 - 60,000; Full time

Job summary

A leading company in the tech sector is seeking a Data Engineer to develop and maintain data solutions in Slough. The role requires expertise in SQL and Python, alongside strong collaboration and communication skills. As a successful candidate, you will contribute to scalable data architectures and execution of ETL processes. This position offers a contract duration of 3 months, with a possibility for extension, emphasizing the importance of technical expertise and teamwork in a dynamic environment.

Qualifications

• Bachelor's degree required in a technical field.
• Process certification such as Six Sigma or ITIL preferred.
• Strong ability to work independently and as part of a team.

Responsibilities

• Design and maintain scalable data management systems.
• Implement and maintain large-scale data ETL processes.
• Collaborate with team members to achieve project goals.

Skills

Teamwork

Communication Skills

PC Skills

Education

Bachelor's degree in computer science or related field

Process certification (Six Sigma, ITIL, etc.)

Tools

Microsoft SharePoint

Job description

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Data Engineer – SQL + Python - Big tech sector experience, Slough

Location: Slough, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

2

Posted:

26.06.2025

Expiry Date:

10.08.2025

Job Description:

Data Engineer – SQL + Python - Big tech sector experience

Contract Duration: 3 months initially

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.