At a Glance
- Tasks: Design and develop data pipelines using Python and PySpark.
- Company: Join Atos, a leader in tech innovation with a global reach.
- Benefits: Enjoy competitive pay, flexible remote work, and a vibrant team culture.
- Other info: Flexible hybrid work model with opportunities for growth.
- Why this job: Be part of exciting projects that shape the future of data engineering.
- Qualifications: Proficiency in Python, PySpark, and experience with Databricks.
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 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 meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Python Data Engineer - Atos
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how a personal connection can give you that extra edge when applying for roles like the Python Data Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and PySpark projects. We all know that actions speak louder than words, so having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on Behaviour Driven Development and testing techniques, especially with Python behave. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there, so don’t miss out on your chance to land that remote Python Data Engineer gig!
We think you need these skills to ace Remote Python Data Engineer - Atos
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 at StudySmarter.
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 don’t miss out on any important updates from our team!
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 problem-solving abilities 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 depth of knowledge.
✨Understand Databricks and YAML
Research Databricks and its functionalities, as well as how YAML is used in data engineering. Being able to discuss these tools confidently will set you apart from other candidates and show that you're proactive about learning.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, project expectations, and future developments in the company. This not only shows your interest but also helps you gauge if the company is the right fit for you.
