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- Tasks: Design and build 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 competitive salary between £75,000 - £85,000.
- Why this job: Be part of a collaborative team driving AI and data engineering innovations.
- Qualifications: Proven experience in Full Stack Development with strong Python and JavaScript skills required.
- Other info: Must be eligible to work in the UK; ideal for tech enthusiasts eager to learn.
Full Stack Python Developer – Data Engineering & AI
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
Familiarise yourself with the latest trends in data engineering and AI. Being well-versed in current technologies and methodologies will not only boost your confidence but also impress potential employers during discussions.
✨Tip Number 2
Engage with online communities and forums related to Python development, data engineering, and AI. Networking with professionals in these fields can provide valuable insights and may even lead to referrals for job openings.
✨Tip Number 3
Showcase your projects on platforms like GitHub. Having a portfolio of your work, especially projects that demonstrate your skills in Python, ETL processes, and cloud technologies, can significantly enhance your visibility to recruiters.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions relevant to full-stack development. This will help you articulate your thought process and problem-solving skills effectively during the interview.
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: Since collaboration is key in this role, mention your communication skills and your proactive approach to learning. Share examples of how you've worked effectively in team settings or contributed to architectural discussions.
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 your familiarity 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 Innovation
The company values a keen interest in Artificial Intelligence and Machine Learning. Be sure to mention any relevant projects or learning experiences that demonstrate your passion for these areas, and how you envision contributing to data-driven innovation.
