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- Tasks: Build scalable data platforms and design data pipelines using Spark, Scala, and Python.
- Company: Global technology consulting firm focused on innovation and employee wellbeing.
- Benefits: Emphasis on diversity, extensive training, and a supportive work environment.
- Why this job: Join a team that values personal growth and fosters innovation in data engineering.
- Qualifications: 16+ years of engineering experience with expertise in Spark, Scala, and Python.
- Other info: Collaborative atmosphere with opportunities for career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A global technology consulting firm is seeking a Senior Big Data Engineer to build scalable data platforms. Candidates should have 16+ years of engineering experience with deep expertise in Spark, Scala, and Python. The role involves designing data pipelines, optimizing workloads, and collaborating with multiple teams.
This position emphasizes employee wellbeing, diversity, and offers extensive training opportunities to foster innovation and personal growth.
Senior Big Data Engineer – Spark and Risk Data Lead employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Big Data Engineer – Spark and Risk Data Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in Spark, Scala, and Python. This will not only demonstrate your technical abilities but also your passion for the field.
✨Tip Number 3
Ace the interview! Research common interview questions for Big Data Engineers and practice your responses. Be ready to discuss your past projects and how you’ve optimised data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Big Data Engineer – Spark and Risk Data Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 16+ years of engineering experience, especially with Spark, Scala, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable data platforms and how you can contribute to our team. Let us know what excites you about this role!
Showcase Collaboration Skills: Since this role involves working with multiple teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing how you can work well with others to achieve common goals!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Capgemini
✨Know Your Tech Inside Out
Make sure you brush up on your Spark, Scala, and Python skills. Be ready to discuss specific projects where you've used these technologies, and think about how you can demonstrate your expertise in building scalable data platforms.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in designing data pipelines or optimising workloads. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Collaboration is Key
Since the role involves working with multiple teams, be ready to share examples of how you've successfully collaborated in the past. Discuss how you handle differing opinions and ensure everyone is on the same page.
✨Emphasise Personal Growth and Wellbeing
This company values employee wellbeing and personal growth, so don’t hesitate to express your enthusiasm for continuous learning. Mention any relevant training or courses you've taken and how they’ve contributed to your professional development.