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- Tasks: Build APIs, integrate platforms, and guide team members in coding.
- Company: Join a renowned consultancy that empowers engineering teams from top companies.
- Benefits: Enjoy remote work flexibility and competitive pay up to £575 per day.
- Why this job: Be part of a culture focused on engineering excellence and impactful digital strategies.
- Qualifications: Must have Python experience, knowledge of FastAPI or Flask, and data handling skills.
- Other info: This is a contract role outside IR35; UK-based applicants with registered companies only.
Comp: up to £575 p/d
Contract: 6 - 12 months
Location: Remote first (UK based)
Stack: Python, FastAPI, GCP, BigQuery
Our long term client is a well known consultancy delivering complete functional solutions. They support engineering teams from FTSE 100 and S&P 500 companies build complex digital strategies. Engineering excellence is at the core of their approach, more than half of their employees are engineers.
What you will be doing:
- Building APIs and integrating them with external platforms
- Provide technical guidance and code reviews to other team members
- Design, develop and deploy high-performance solutions that process large volumes of data
Must have experience:
- Quality engineering best practice and tooling including TDD, BDD
- Up to date knowledge of Python coding, testing, debugging
- Experience working with large sets of data
- Experience with FastAPI or Flask
- Experience with BigQuery
This is a contract role outside IR35, so you must be UK based and have a company registered in the UK.
If you're interested in this opportunity, please click Apply or reach out to iroghina@trg-uk.com for more information.
Contact Detail:
trg.recruitment Recruiting Team
iroghina@trg-uk.com
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Python Engineer
✨Tip Number 1
Make sure to showcase your experience with Python and FastAPI prominently. Highlight any projects where you've built APIs or integrated with external platforms, as this is a key requirement for the role.
✨Tip Number 2
Connect with the job poster on LinkedIn or through the provided email. A direct message can help you stand out and show your enthusiasm for the position, making it easier for them to remember you.
✨Tip Number 3
Familiarise yourself with quality engineering practices like TDD and BDD. Be prepared to discuss how you've implemented these in past projects during any conversations or interviews.
✨Tip Number 4
Since this role involves working with large datasets, be ready to discuss your experience with BigQuery or similar tools. Prepare examples of how you've handled data processing challenges in previous roles.
We think you need these skills to ace Freelance Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, FastAPI, and BigQuery. Include specific projects where you've built APIs or worked with large data sets to demonstrate your technical skills.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with quality engineering practices like TDD and BDD, and how you can contribute to their engineering excellence.
Showcase Relevant Projects: If you have a portfolio or GitHub repository, include links to relevant projects that showcase your coding abilities and experience with the required technologies. This will give the hiring team a clear view of your capabilities.
Follow Up: After submitting your application, consider sending a polite follow-up message to the job poster. This shows your interest in the position and keeps you on their radar.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Python Expertise
Make sure to highlight your experience with Python, especially any projects where you've used it to build APIs or work with large datasets. Be prepared to discuss specific challenges you faced and how you overcame them.
✨Familiarise Yourself with FastAPI and BigQuery
Since the role requires knowledge of FastAPI and BigQuery, brush up on these technologies. Consider preparing a small demo or example project that showcases your skills in these areas to discuss during the interview.
✨Emphasise Quality Engineering Practices
The company values quality engineering, so be ready to talk about your experience with TDD and BDD. Share examples of how you've implemented these practices in past projects and the impact they had on the final product.
✨Prepare for Technical Questions
Expect technical questions related to Python coding, testing, and debugging. Practise common coding problems and be ready to explain your thought process as you solve them. This will demonstrate your problem-solving skills and technical knowledge.
