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- Tasks: Contribute to impactful Data and AI projects that improve lives and society.
- Company: Atos, a leader in tech innovation with a focus on sustainability.
- Benefits: Pension scheme, private medical cover, 25 days leave, and flexible benefits.
- Why this job: Join a team shaping the future with cutting-edge technology and responsible AI.
- Qualifications: Proficiency in Python, Pyspark, and knowledge of Databricks and Azure DevOps.
- Other info: Remote and hybrid work options available, fostering a collaborative culture.
The predicted salary is between 36000 - 60000 £ per year.
Where purpose meets career: Impact That Matters: At Atos you will have an opportunity to contribute to major Data and AI projects that make a positive impact to society and to Atos's contribution to improving citizens' lives. Atos is committed to reducing its absolute Greenhouse gas emissions and environmental impact. This is a newly formed business line, pulling together our Data and AI practices. You will have a key role in this business.
Tech at Its Best: Atos works with partners and the customer to apply the most up to date technology to the business problem. Atos is committed to attracting and nurturing today’s most talented Data and AI experts from diverse backgrounds and offer them the variety of opportunities to build the future digital world with next gen technology skills like Prompt Engineering, Deep Learning with PyTorch & TensorFlow, Applied Machine Learning, LLM Fine‑tuning & RAG etc.
Team Spirit & Culture: Atos promotes a collaborative mindset: Cross‑functional teams work together, share knowledge, and iterate fast. Curiosity & ethics: Encourages experimentation with a strong focus on responsible AI. Learning culture: Continuous upskilling through hackathons, peer reviews, and innovation.
Our Data & AI business line: Effective data management is the foundation for impactful artificial intelligence—and a key driver of business growth. Our strategy and advisory services help you build the right framework for data and AI infrastructure and processes. Our data services cover information architecture, platform design, modernization, governance, operations and geospatial intelligence, helping businesses across industries design, develop, and deploy conversational AI, generative AI, and agentic AI solutions.
Reporting line directly to Head of Data Management practice and base location is London. Currently Remote & Hybrid (1-2 days in office) depending on future needs of the client.
Skills we can’t do without:
- Python 3 / Pyspark 3/4
- Python behave & code coverage - for Behaviour Driven Development and testing
- Strong Knowledge of Databricks, YAML including delta parquet data format and the medallion data architecture
- Understanding of Azure DevOps, Git, and code release best practices.
We Care About Our Employees' Happiness By providing:
- Pension Scheme - contributions matched up to 10%
- Private medical Cover
- Income Protection
- Life Assurance
- 25 days paid leave + National Holidays
- Flex benefits program
If you have any questions, please contact our recruiter Meyeppan M on LinkedIn.
Python Data Engineer employer: æ…¨æ£æ©¡æ‰¯
Contact Detail:
æ…¨æ£æ©¡æ‰¯ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Atos on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your Python projects, especially those related to data engineering. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills by working on sample problems or participating in hackathons. This will not only boost your confidence but also demonstrate your commitment to continuous learning.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Atos and contributing to impactful projects.
We think you need these skills to ace Python Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Python Data Engineer role. Highlight your experience with Python, Pyspark, and any relevant projects that showcase your skills in data management and AI. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how your values align with Atos's commitment to making a positive impact. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any cool projects involving Databricks, Azure DevOps, or machine learning, make sure to mention them! We love seeing practical examples of your work and how you’ve tackled real-world problems.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets into the right hands. Plus, it shows you’re serious about joining our team at Atos!
How to prepare for a job interview at æ…¨æ£æ©¡æ‰¯
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Pyspark skills before the interview. Be ready to discuss your experience with Databricks, YAML, and the medallion data architecture. They’ll likely ask you to solve a problem or explain a project where you used these technologies.
✨Show Your Collaborative Spirit
At Atos, teamwork is key! Prepare examples of how you've worked in cross-functional teams. Highlight any experiences where you shared knowledge or iterated on projects together. This will show that you fit into their collaborative culture.
✨Emphasise Your Curiosity and Ethics
They value curiosity and responsible AI. Think of instances where you’ve experimented with new technologies or approaches. Be ready to discuss how you ensure ethical considerations in your work, especially in AI projects.
✨Ask Insightful Questions
Prepare thoughtful questions about their Data & AI business line and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of making a positive impact on society.