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- Tasks: Develop backend systems and interactive UIs using Python and React.js.
- Company: Join a dynamic tech company in the heart of London.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Other info: Collaborative environment with a focus on professional development.
- Why this job: Be part of innovative projects that shape the future of technology.
- Qualifications: Experience in Python, SQL, and frontend technologies like React.
The predicted salary is between 50000 - 65000 £ per year.
Location: London, UK - 5 Days Onsite
Employment Type: Full-Time (FTE) / Permanent (Note: Sponsorship won't be provided)
We are looking for a skilled Python Developer with strong experience in backend development, data engineering, and modern frontend technologies.
Key Skills Required:
- Python
- React.js
- SQL
- Databricks
- PySpark
Key Responsibilities
- Backend Development (Python)
- Build APIs and services using Python frameworks (Flask, FastAPI, Django).
- Integrate with Databricks SQL endpoints for data access.
- Ensure performance, scalability, and security of backend systems.
- Databricks & Data Engineering
- Develop ETL pipelines and workflows using PySpark on Databricks.
- Work with Delta Lake, Unity Catalog, and Databricks REST APIs.
- Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS).
- SQL Database Management
- Write and optimize complex SQL queries.
- Manage relational databases and integrate with Databricks.
- Perform data cleansing, transformation, and aggregation for analytics.
- Frontend Development (React)
- Design and build responsive, interactive UIs using React.js.
- Integrate frontend components with backend APIs and Databricks datasets.
- Use visualization libraries (D3.js, Plotly, Recharts) for dashboards.
- Collaboration & DevOps
- Work with cross-functional teams (data scientists, product managers, UX designers).
- Participate in CI/CD pipelines (GitHub Actions, Azure DevOps).
- Document workflows and ensure compliance with coding standards.
Python Developer employer: Cubestech Ltd
Contact Detail:
Cubestech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Python or at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving Python, React.js, and data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common Python and SQL questions. Practice coding challenges on platforms like LeetCode or HackerRank. The more confident you are, the better you'll perform when it counts!
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities for Python Developers. Plus, applying directly shows your enthusiasm and makes it easier for us to spot your application.
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, React.js, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about Python development and how your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects using Databricks, PySpark, or even built APIs, make sure to mention them. We love seeing real-world applications of your skills, so include links if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining StudySmarter!
How to prepare for a job interview at Cubestech Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, React.js, SQL, and Databricks. Brush up on your knowledge of frameworks like Flask, FastAPI, and Django, as well as ETL processes using PySpark. Being able to discuss these technologies confidently will show that you're the right fit for the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built APIs or developed ETL pipelines. Highlight your experience with data engineering and how you’ve optimised queries for performance and cost efficiency. Real-world examples will make your skills more tangible to the interviewers.
✨Understand the Company’s Needs
Research the company and its products. Understand how they use data and technology, especially in relation to Databricks and cloud environments. This will help you tailor your answers and demonstrate that you’re not just a good developer, but also a good fit for their team.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with data scientists, product managers, and UX designers. Think of examples where you’ve successfully worked in a team setting and how you contributed to the overall project goals.