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For Companies At a Glance
- Tasks: Join us as a Data Engineer and shape the future with cutting-edge technology.
- Company: Capgemini, a global leader in tech transformation and innovation.
- Benefits: Empowering career growth, collaborative culture, and a focus on sustainability.
- Why this job: Make a real impact by unlocking technology's potential for leading organisations.
- Qualifications: Proficiency in Python, AWS Data Engineering, and MLOps tools required.
- Other info: Be part of a diverse team with opportunities for global collaboration.
The predicted salary is between 28800 - 42000 £ per year.
GET THE FUTURE YOU WANT!
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
YOUR ROLE
Hiring for a Data Engineer for FS domain with Machine learning and MLOps background and proficiency in Python.
YOUR PROFILE
- Primary Skill: AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.)
- Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines.
- Proficiency with Python, Pyspark, Big-data ecosystems
- Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)
- Secondary Skill : Experience with RESTful APIs and integrating backend services
ABOUT CAPGEMINI
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.5 billion.
Get the future you want | www.capgemini.com
Data Engineer employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Capgemini on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects, especially those involving AWS, Python, and MLOps. We want to see your hands-on experience in action, so make it visually appealing and easy to navigate.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice your answers. We recommend using the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive job postings that you won’t find anywhere else. Don’t miss out on your chance to join us at Capgemini!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS, Python, and MLOps tools. We want to see how your skills match what we're looking for!
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 you can contribute to our mission at Capgemini. Keep it engaging and personal.
Showcase Relevant Projects: If you've worked on any projects related to machine learning or data pipelines, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Let’s get started on your future together!
How to prepare for a job interview at Capgemini
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Python, and MLOps tools. Brush up on your knowledge of data pipelines and machine learning lifecycles, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've applied your skills in data engineering and machine learning. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand Capgemini's Values
Familiarise yourself with Capgemini’s mission and values. They’re looking for candidates who align with their vision of creating a sustainable and inclusive world. Showing that you resonate with their goals can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest in the role but also helps you gauge if Capgemini is the right fit for you. Think about what you want to know regarding their approach to technology and collaboration.
