Data Engineer – SQL + Python - Big tech sector experience

JR United Kingdom; Stoke-on-Trent; Remote; GBP 35,000 - 55,000; Full time

Job summary

A leading tech organization is seeking a Data Engineer proficient in SQL and Python to design and maintain scalable data management systems. Responsibilities include ensuring system compliance with business requirements, implementing automated ETL processes, and developing predictive models. Candidates should possess a technical degree and strong communication skills, with certification being a plus. This role offers remote working flexibility.

Qualifications

• Bachelor's degree in computer science, engineering, or related field required.
• Certifications such as Six Sigma, CBPP, or ITIL are advantageous.

Responsibilities

• Design, construct, and maintain scalable data management systems.
• Automate and maintain large-scale enterprise data ETL processes.
• Build and test high-performance algorithms and models.

Skills

Teamwork

Communication

Microsoft SharePoint

Education

Bachelor's degree in a technical field

Process certification (Six Sigma, ITIL, etc.)

Job description

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Data Engineer – SQL + Python - Big tech sector experience, Stoke-on-Trent

Location: Stoke-on-Trent, 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.