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- Tasks: Join Atos as a Python Data Engineer and work on impactful Data and AI projects.
- Company: Atos, a leader in tech innovation with a focus on societal impact.
- Benefits: Enjoy a competitive salary, private medical cover, and a generous pension scheme.
- Other info: Flexible remote/hybrid work options and a culture of continuous learning.
- Why this job: Make a difference in society while developing cutting-edge technology skills.
- Qualifications: Proficiency in Python, Pyspark, and experience with Databricks and Azure DevOps.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with Atos to connect them with exceptional professionals for this role.
Where Purpose Meets Career Impact That Matters
At Atos you will have the opportunity to contribute to major Data and AI projects that make a positive impact on 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. You will work across our business internally but more significantly, throughout our solutions and portfolio of offerings which we deliver to our customers and society.
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 offers 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 in England employer: Limelight Health
Contact Detail:
Limelight Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer in England
✨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 noticed. Plus, it shows you're genuinely interested in joining Atos and contributing to their impactful projects.
We think you need these skills to ace Python Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Python Data Engineer role. Highlight your expertise in Python, Pyspark, and any relevant projects you've worked on. We want to see how you can contribute to our Data and AI projects!
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 submit your application through our website! It’s the best way for us to receive your details and get you into our system. Plus, it shows you're keen to join our team at Atos!
How to prepare for a job interview at Limelight Health
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Pyspark, and the tools mentioned in the job description. Brush up on Databricks and YAML, as well as your understanding of Azure DevOps. Being able to discuss these technologies confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and how you can contribute to Atos's mission of impactful AI solutions.
✨Emphasise Team Spirit
Atos values collaboration, so be ready to talk about your experiences working in cross-functional teams. Share how you’ve contributed to team projects and how you handle feedback. This will highlight your ability to fit into their culture of teamwork and continuous learning.
✨Ask Insightful Questions
Prepare thoughtful questions about Atos’s Data and AI projects, their approach to responsible AI, and opportunities for continuous learning. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.