At a Glance
- Tasks: Build and maintain full-stack applications using Python and modern JavaScript frameworks.
- Company: Join a leading IT Services provider focused on innovative cloud and data-driven projects.
- Benefits: Enjoy remote work flexibility and a competitive salary of £75,000 - £85,000 per annum.
- Why this job: Be part of a collaborative team driving AI and data innovation in a forward-thinking environment.
- Qualifications: Proven experience in Full Stack Development with strong Python skills and data engineering knowledge.
- Other info: Must be eligible to work in the UK; ideal for tech enthusiasts eager to learn.
Full Stack Python Developer – Data Engineering & AI
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Location: UK-wide – Remote based.
Employment Type: Permanent
Salary: £75,000 – £85,000 per annum, dependent on experience
Context Recruitment is working in partnership with a leading IT Services provider to appoint a skilled Full Stack Python Developer with demonstrable experience in data engineering. This role offers the opportunity to contribute to innovative cloud and data-driven projects within a collaborative and forward-thinking technical environment.
Key Responsibilities:
Design, build and maintain full-stack applications using Python (Django, Flask or FastAPI) and modern JavaScript frameworks (such as React, Vue or Angular)
Develop and optimise ETL pipelines, data workflows and API integrations
Collaborate with data engineers and analysts to ensure efficient data architecture and accessibility
Work with relational and non-relational databases (e.g. PostgreSQL, MongoDB)
Contribute to deployment processes using Docker, CI/CD pipelines, and cloud platforms.
Support container orchestration and microservices architecture using Kubernetes
Participate in architectural discussions and promote best practices across the development lifecycle
Candidate Requirements:
Proven experience as a Full Stack Developer with strong proficiency in Python
Solid understanding of data engineering principles, including ETL processes and data pipeline design
Front-end development experience using JavaScript and associated frameworks
Familiarity with cloud infrastructure, containerisation, and Kubernetes
Must have a keen interest in Artificial Intelligence and Machine Learning, with a desire to contribute to data-driven innovation
Strong problem-solving abilities and a collaborative approach to team-based development
Excellent communication skills and a proactive attitude towards learning and innovation
Must be eligible to work in the UK.
Paying between 75-85k, depending on experience
Full Stack Python Developer employer: Context Recruitment
Contact Detail:
Context Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Python Developer
✨Tip Number 1
Make sure to showcase your experience with Python frameworks like Django, Flask, or FastAPI in your conversations. Highlight specific projects where you've used these technologies to demonstrate your hands-on skills.
✨Tip Number 2
Familiarise yourself with the latest trends in data engineering and AI. Being able to discuss recent advancements or tools in these areas during interviews can set you apart as a knowledgeable candidate.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data pipeline design. Be ready to explain how you've optimised workflows in previous roles, as this is crucial for the position.
✨Tip Number 4
Engage with the community by joining forums or groups related to Full Stack development and data engineering. Networking can lead to valuable insights and connections that may help you during the application process.
We think you need these skills to ace Full Stack Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, data engineering, and relevant frameworks like Django or Flask. Emphasise your front-end skills with JavaScript frameworks and any experience with cloud infrastructure.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your skills in full-stack development and your interest in AI and machine learning.
Showcase Relevant Projects: If you have worked on projects involving ETL pipelines, API integrations, or container orchestration, be sure to include these in your application. Provide links to your GitHub or portfolio to showcase your work.
Highlight Soft Skills: The job requires excellent communication and collaboration skills. Include examples of how you've worked effectively in teams or contributed to discussions about best practices in development.
How to prepare for a job interview at Context Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python frameworks like Django, Flask, or FastAPI. Highlight specific projects where you've built full-stack applications and be ready to explain your role in developing ETL pipelines and API integrations.
✨Demonstrate Your Understanding of Data Engineering
Since the role focuses on data engineering, make sure to articulate your knowledge of data workflows and architecture. Discuss any experience you have with relational and non-relational databases, and how you've optimised data accessibility in previous roles.
✨Emphasise Collaboration and Communication
This position requires working closely with data engineers and analysts. Share examples of how you've successfully collaborated in a team environment, and highlight your communication skills, especially when discussing complex technical concepts.
✨Express Your Interest in AI and Machine Learning
The company values candidates with a keen interest in AI and machine learning. Be sure to mention any relevant projects or learning experiences that demonstrate your enthusiasm for these fields, and how you see them influencing your work as a developer.