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For Companies At a Glance
- Tasks: Design and build scalable applications, implement data pipelines, and create cloud infrastructure.
- Company: Global leader in data analytics with a focus on innovation.
- Benefits: Comprehensive benefits package and promotes a healthy work-life balance.
- Why this job: Join a cutting-edge team and shape the future of data analytics.
- Qualifications: Strong skills in Java, Python, and experience with ETL processes like Spark and Airflow.
- Other info: Exciting opportunities for growth in a dynamic work environment.
The predicted salary is between 43200 - 72000 £ per year.
A global leader in data analytics is seeking a Principal Data Engineer for their team in Greater London. The role involves designing and building scalable applications, implementing data pipelines, and creating cloud infrastructure in AWS.
The ideal candidate will have strong skills in Java, Python, and experience with ETL processes including Spark and Airflow.
This position promotes a healthy work-life balance and offers a comprehensive benefits package.
Data Platform Architect – AI, Pipelines & Cloud in London employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Architect – AI, Pipelines & Cloud in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those who work with AWS, Java, and Python. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving ETL processes, Spark, and Airflow. This gives us a tangible way to see what you can do beyond the written application.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with cloud infrastructure and scalable applications. We love candidates who can talk the talk and walk the walk!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals like you!
We think you need these skills to ace Data Platform Architect – AI, Pipelines & Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java, Python, and ETL processes like Spark and Airflow. We want to see how your skills align with the role of Data Platform Architect, 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 data analytics and how your background makes you a perfect fit for our team. Let us know what excites you about the role and working with us at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've designed scalable applications or implemented data pipelines in the past. We love seeing how you tackle challenges, so share those success stories that demonstrate your expertise!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our awesome team!
How to prepare for a job interview at Elsevier
✨Know Your Tech Stack
Make sure you’re well-versed in Java, Python, and the ETL processes like Spark and Airflow. Brush up on your knowledge of AWS cloud infrastructure too, as you’ll likely be asked to discuss how you’ve used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in designing scalable applications or implementing data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Company Culture
Research the company’s values and work-life balance initiatives. Be ready to explain how you align with their culture and how you can contribute to a positive team environment, as this role promotes a healthy work-life balance.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future goals of the data platform. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
