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For Companies At a Glance
- Tasks: Design scalable applications and create robust data pipelines in a dynamic environment.
- Company: Global leader in information and analytics based in Greater London.
- Benefits: Flexible working hours, comprehensive benefits, and a strong focus on well-being.
- Why this job: Join a cutting-edge team and shape the future of AI and data engineering.
- Qualifications: Strong programming skills in Python and Java, plus ETL and data engineering experience.
- Other info: Great opportunity for career growth in a supportive work culture.
The predicted salary is between 48000 - 72000 £ per year.
A global information and analytics leader in Greater London is seeking a Principal Data Engineer. The role involves designing scalable applications, creating robust data pipelines, and building cloud infrastructure in AWS.
Key skills required include:
- Strong programming abilities in Python and Java
- Experience in ETL and data engineering principles
The company promotes a healthy work/life balance with flexible working hours, comprehensive benefits, and a commitment to well-being.
Principal Data Engineer - AI Platform & Scalable Pipelines in London employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer - AI Platform & Scalable Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving scalable applications and data pipelines. This is your chance to shine and demonstrate your programming prowess in Python and Java.
✨Tip Number 3
Prepare for the interview like it’s the big game! Research common questions for Principal Data Engineer roles and practice your answers. Don’t forget to highlight your experience with ETL and cloud infrastructure in AWS.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Principal Data Engineer - AI Platform & Scalable Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with scalable applications and data pipelines. We want to see your programming skills in Python and Java shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Principal Data Engineer role. Share specific examples of your past projects that align with our needs, especially in ETL and cloud infrastructure.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse of how you tackle challenges in data engineering. We love seeing innovative solutions, so feel free to include any unique approaches you've taken in previous roles.
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 LexisNexis Risk Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills in Python and Java. Be ready to discuss specific projects where you've designed scalable applications or built robust data pipelines. The more examples you can provide, the better!
✨Understand ETL and Data Engineering Principles
Familiarise yourself with ETL processes and data engineering principles. Prepare to explain how you've implemented these in past roles, as this will show your depth of knowledge and practical experience.
✨Showcase Your Cloud Skills
Since the role involves building cloud infrastructure in AWS, be prepared to discuss your experience with AWS services. Highlight any specific projects where you've leveraged AWS to create scalable solutions.
✨Emphasise Work/Life Balance
The company values a healthy work/life balance, so don’t hesitate to mention how you manage your time effectively. Share examples of how you maintain productivity while ensuring personal well-being, as this aligns with their culture.
