At a Glance
- Tasks: Design and develop data pipelines using Python and PySpark.
- Company: Join Atos, a leading tech company with a global presence.
- Benefits: Enjoy competitive pay, flexible remote work, and a supportive team.
- Other info: Flexible hybrid work model with opportunities for growth.
- Why this job: Be part of innovative projects that shape the future of data engineering.
- Qualifications: Experience in Python, PySpark, and Databricks is essential.
The predicted salary is between 50000 - 65000 € per year.
Remote worldwide position for a Python Data Engineer. Currently Remote & Hybrid (1-2 days in office) depending on future needs of the client.
Tech stack:
- Data Engineer code coverage
- PySpark
- Python
Skills Required:
- Python 3 / Pyspark 3/4
- Python behave & code coverage - for Behaviour Driven Development and testing
- Strong Knowledge of Databricks, YAML
Compensation: Competitive
Role type: Full time
Visa sponsorship: Not provided
Benefits & perks:
Remote Python Data Engineer - Atos in London employer: Atos
Atos is an exceptional employer that fosters a dynamic and inclusive work culture, offering remote and hybrid working options to suit your lifestyle. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a collaborative environment. Join us in London and be part of a team that values innovation and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Python Data Engineer - Atos in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and PySpark projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with Databricks 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 opportunities, and applying directly can sometimes give you a better chance of landing that dream job. Plus, we love seeing familiar faces!
We think you need these skills to ace Remote Python Data Engineer - Atos in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and PySpark. 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 great fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills:Since we’re looking for someone with strong knowledge of Databricks and YAML, make sure to mention any hands-on experience you have with these tools. We love seeing practical examples of your 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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Atos
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially version 3. Be ready to discuss your experience with PySpark and how you've used it in past projects. Practising coding challenges can help you demonstrate your proficiency during the interview.
✨Familiarise Yourself with Behaviour Driven Development
Since the role involves Behaviour Driven Development, be prepared to explain how you've implemented this in your previous work. Have examples ready that showcase your understanding of Python behave and code coverage, as this will show your potential employer that you’re a good fit for their needs.
✨Understand Databricks and YAML
Dive into Databricks and YAML before your interview. Knowing how to navigate these tools will give you an edge. You might be asked about your experience with them, so having specific examples of how you've used them in data engineering tasks will impress the interviewers.
✨Prepare Questions About Remote Work
Since the position is remote and hybrid, think about what you want to know regarding their remote work culture. Asking insightful questions shows your interest in the role and helps you gauge if their working style aligns with yours.
