Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and maintain ETL processes using Python and PySpark.
- Company: Join a dynamic team in Knutsford focused on data innovation.
- Benefits: Enjoy a collaborative work environment with opportunities for growth.
- Why this job: Work on exciting data projects that make a real impact.
- Qualifications: Experience with Python and PySpark is essential.
- Other info: This role lasts until the end of June 2025.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Role: Python/Pyspark Dev
Location: Knutsford
Duration: End of June 2025
Job description:
Develop and maintain ETL processes using Python and PySpark.
Design and implement data pipelines and workflows.
Optimize and fine-tune data processing applications.
Collaborate with data scientists and analysts to understand data requirements.
Ensure data integrity and consistency across systems.
Write clean, scalable, and maintainable code.
Monitor and troubleshoot data processing jobs.
Python/Pyspark Dev (289771) employer: eTeam Workforce Limited
Contact Detail:
eTeam Workforce Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python/Pyspark Dev (289771)
✨Tip Number 1
Familiarize yourself with the specific ETL processes and data pipeline architectures commonly used in the industry. This knowledge will help you speak confidently about your experience and how you can contribute to our team.
✨Tip Number 2
Engage with the Python and PySpark communities online. Participating in forums or contributing to open-source projects can showcase your skills and passion for coding, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss specific examples of how you've optimized data processing applications in the past. Highlighting your problem-solving skills and ability to improve efficiency will resonate well with us.
✨Tip Number 4
Brush up on best practices for writing clean and maintainable code. Being able to articulate your coding standards and how they align with our expectations will set you apart from other candidates.
We think you need these skills to ace Python/Pyspark Dev (289771)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Python/Pyspark Dev position. Understand the key responsibilities such as developing ETL processes and collaborating with data scientists.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Python and PySpark. Provide specific examples of projects where you developed data pipelines or optimized data processing applications.
Showcase Your Skills: Include any relevant technical skills in your application. Mention your proficiency in writing clean, scalable code and your ability to monitor and troubleshoot data processing jobs.
Tailor Your Application: Customize your application materials to reflect the requirements of the job. Use keywords from the job description to demonstrate that you are a good fit for the role.
How to prepare for a job interview at eTeam Workforce Limited
✨Showcase Your Python and PySpark Skills
Be prepared to discuss your experience with Python and PySpark in detail. Highlight specific projects where you've developed ETL processes or data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Data Requirements
Demonstrate your ability to collaborate with data scientists and analysts by discussing how you gather and understand data requirements. Share examples of how you’ve worked with cross-functional teams to ensure data integrity and consistency.
✨Emphasize Code Quality
Talk about your approach to writing clean, scalable, and maintainable code. Be ready to provide examples of coding standards you follow and any tools or practices you use to ensure code quality.
✨Problem-Solving Mindset
Prepare to discuss how you monitor and troubleshoot data processing jobs. Share specific instances where you identified issues and the steps you took to resolve them, showcasing your analytical and problem-solving skills.
