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- Tasks: Design data architecture and solve complex data challenges with cross-functional teams.
- Company: Leading tech company in Greater London focused on innovation.
- Benefits: Skill development, career advancement, and a vibrant data community.
- Why this job: Shape the future of business applications and work on large-scale projects.
- Qualifications: Bachelor's degree and 4+ years of data experience required.
- Other info: Join a world-class team and elevate your career in data engineering.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in Greater London seeks a Data Engineer to shape the future of business-facing applications. The role involves designing data architecture, collaborating with cross-functional teams, and solving complex data challenges.
Candidates should have a Bachelor's degree or higher in a relevant field, alongside 4+ years of data experience. This role offers the opportunity to work on large-scale projects within a world-class data community, emphasizing skill development and career advancement.
Data Engineer, Product Analytics — Scale Insights for Billions in London employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Product Analytics — Scale Insights for Billions in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. 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 or case studies showcasing your data projects. This is your chance to demonstrate how you’ve tackled complex data challenges and designed effective data architecture.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data engineering skills. Use platforms like StudySmarter to find resources that can help us ace those tricky questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineer, Product Analytics — Scale Insights for Billions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your relevant experience in data architecture and any projects that showcase your problem-solving skills. We want to see how you can shape the future of business-facing applications!
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 your background aligns with our needs. Don’t forget to mention your collaborative spirit, as we love working with cross-functional teams.
Showcase Your Skills: In your application, be sure to highlight your technical skills and any tools or technologies you’ve worked with. We’re looking for someone with 4+ years of experience, so let us know how you've tackled complex data challenges in the past!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Meta
✨Know Your Data Architecture
Make sure you brush up on your knowledge of data architecture principles. Be ready to discuss how you've designed and implemented data solutions in the past, as this will show your technical expertise and problem-solving skills.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others. Highlight your communication skills and how you’ve navigated challenges in team settings.
✨Tackle Complex Data Challenges
Think of specific complex data problems you've solved in your previous roles. Be prepared to walk through your thought process and the steps you took to arrive at a solution, showcasing your analytical skills.
✨Show Your Passion for Learning
This position emphasises skill development, so express your enthusiasm for continuous learning. Share any recent courses or projects that demonstrate your commitment to staying updated in the data field.
