At a Glance
- Tasks: Join us as a Python Data Engineer, working with Python, PySpark, and Databricks.
- Company: Atos, a leading tech company offering remote and hybrid work options.
- Benefits: Enjoy competitive pay and flexible working arrangements.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Be part of innovative projects that shape the future of data engineering.
- Qualifications: Experience in Python, PySpark, code coverage, and YAML is essential.
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 in London employer: Atos
Atos is an excellent employer that fosters a dynamic and inclusive work culture, offering flexible remote and hybrid working options in the vibrant city of London. Employees benefit from competitive compensation, continuous professional development opportunities, and the chance to work with cutting-edge technologies like Python, PySpark, and Databricks, making it a rewarding 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 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, especially those involving Databricks. 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 behaviour-driven development concepts and code coverage techniques. Practise common interview questions related to these topics so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote Python Data Engineer | PySpark & Databricks in London
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 we’re looking for someone with a strong focus on code coverage and YAML, make sure to mention any specific experiences or projects where you’ve used these technologies. We love seeing practical examples!
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 Tech Inside Out
Make sure you’re well-versed in Python, PySpark, and Databricks. Brush up on your knowledge of code coverage and YAML, as these are crucial for the role. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Behaviour-Driven Development
Since the role emphasises behaviour-driven development, prepare examples of how you've implemented this approach in past projects. Discuss the benefits it brought to your work and how it improved collaboration with team members.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and understanding of data engineering concepts. Practise coding challenges or scenarios related to data pipelines and transformations to demonstrate your expertise.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team dynamics, project goals, or the company’s approach to remote work. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
