At a Glance
- Tasks: Build and optimise data pipelines using Python, PySpark, and Databricks.
- Company: Join Atos, a leading tech company with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible remote work options, and career growth.
- Other info: Work in a dynamic environment with opportunities for professional development.
- Why this job: Be part of exciting projects that shape the future of data engineering.
- Qualifications: Experience in Python, PySpark, and familiarity with YAML required.
The predicted salary is between 50000 - 65000 € per year.
Atos is seeking a Python Data Engineer for a full-time position based in London, with remote and hybrid options available. The role involves working with technologies such as Python and PySpark, with a strong focus on Databricks and behaviour-driven development.
Candidates should demonstrate experience in code coverage and YAML. Competitive compensation is offered, but visa sponsorship is not provided.
Remote Python Data Engineer | PySpark & Databricks employer: Atos
Atos is an excellent employer that fosters a dynamic and inclusive work culture, offering flexible remote and hybrid working options to suit your lifestyle. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and cutting-edge technologies like Databricks, making it an ideal environment for those looking to advance their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Python Data Engineer | PySpark & Databricks
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Python and Databricks. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects using PySpark and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to discuss your experience with code coverage and YAML. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Python Data Engineer | PySpark & Databricks
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, PySpark, and Databricks. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it concise but engaging!
Showcase Your Technical Skills:Since this role focuses on specific technologies, make sure to mention your experience with code coverage and YAML. We love seeing practical examples of how you've used these in your previous work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Atos
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PySpark, and Databricks. Brush up on your knowledge of behaviour-driven development and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Code Coverage Skills
Be prepared to talk about your experience with code coverage. Bring examples of how you've implemented it in your work, and be ready to explain its importance in ensuring code quality.
✨Familiarise Yourself with YAML
Since YAML is mentioned in the job description, make sure you understand its syntax and common use cases. You might be asked to demonstrate your knowledge or solve a problem using YAML during the interview.
✨Prepare for Behaviour-Driven Development Questions
Understand the principles of behaviour-driven development and be ready to discuss how you’ve applied them in your previous roles. Think of specific examples that highlight your ability to collaborate with stakeholders and deliver user-focused solutions.
