Python jobs in United Kingdom
Data Engineer (DV Cleared)
Experis - ManpowerGroup
Aspiring AI Engineer — Online Traineeship with Job Guarantee
ITOL Recruit
Senior Data Scientist - Live Service Integrity
Rockstar
Discover more opportunities than anywhere else. Find more jobs nowTech-Driven CS & ICT Teacher for Secondary School — Wickford
Randstad Education
Connect with headhunters to apply for similar jobsSynthetic Prime Trader — Hybrid, Risk-Driven Trading Leader
PowerToFly
Software Engineer III – GenAI, Python, AWS
JPMorgan Chase & Co.
Cross Asset Solutions Sales - 2026 Industrial Placement (12 months)
Crédit Agricole SA
Senior Assistant, Security Policy Management Analyst
Deloitte LLP
Penetration Tester – Assistant Manager
Deloitte LLP
Senior Household Pricing Analyst – 29226
The Emerald Group
Senior Cloud Platform Engineer
Prolific - UK Job Board?
Senior Software & Data Processing Developer - ADAS - Assisted & Automated Driving
Jaguar & Land Rove
Data Engineer
Job summary
A growing Tech company in the United Kingdom is seeking an experienced Data Engineer to join their team on a permanent basis. The role involves designing and maintaining data pipelines for advanced analytics and AI workflows. The ideal candidate will have a strong background in Data Engineering, including ETL/ELT, as well as experience with Python, SQL, and cloud platforms like AWS, Azure, and GCP. A DV clearance is required for this position, which offers an excellent opportunity in a high-profile organization.
Qualifications
- Strong background in Data Engineering including ETL/ELT, data modeling and pipeline development.
- Experience with Python, SQL, and modern data tooling.
- Experience with AWS, Azure, GCP cloud platforms and distribution data systems.
- Strong background in working with Government customers.
- DV Clearance required.
Responsibilities
- Design, build, and maintain data pipelines and application components for advanced analytics and AI workflows.
- Build robust, scalable data pipelines and integration workflows.
- Design and implement logical data models and schemas.
- Develop secure, production-grade data transformations and operational workflows.
- Work directly with client stakeholders to understand requirements.
- Contribute to managed service support and continuous improvement.
Skills
Our client, a growing Tech company, urgently require an experienced Data Engineer to join their team in a permanent basis.
In order to be successful, you will have the following experience:
- Strong background in Data Engineering including; ETL/ELT, data modelling and pipeline development
- Experience with Python, SQL and modern data tooling
- Experience with AWS, Azure, GCP cloud platforms and distribution data systems
- Strong background in working with Government customers
- DV Cleared
Within this role, you will be responsible for:
- Design, build, and maintain data pipelines, and application components that power advanced analytics and AI workflows
- Build robust, scalable data pipelines and integration workflows across diverse systems.
- Design and implement logical data models and schemas aligned to client problem sets
- Develop secure, production?grade data transformations and operational workflows
- Work directly with client stakeholders to understand requirements and deliver high?value outcomes
- Partner with strategic advisory and enablement teams to ensure cohesive project execution
- Contribute to managed service support, troubleshooting, and continuous improvement
- Ensure solutions meet high standards of security, reliability, and maintainability
- Apply governance frameworks, documentation standards, and engineering best practices
- Support change management and operational readiness activities
This represents an excellent opportunity to secure a permanent role with a high profile and rapidly expanding organisation.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.