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- Tasks: Design and enhance data pipelines for analytics and reporting.
- Company: Join NewDay, a diverse and inclusive tech company in Greater London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Supportive environment with a focus on diversity and inclusion.
- Why this job: Make an impact by optimising data systems and supporting analytics.
- Qualifications: Experience with Spark, Scala, AWS, and strong problem-solving skills.
The predicted salary is between 50000 - 65000 £ per year.
NewDay is seeking a Data Engineer in Greater London to design and enhance data pipelines and platforms that support analytics and reporting. You'll be responsible for the ingestion and transformation of data, management of the Data Lake, and optimization of system performance.
Essential skills include experience with Spark, Scala, and AWS, as well as strong problem-solving abilities. The role embraces a culture of diversity and inclusion, making it a supportive environment for all employees.
Data Engineer: Cloud-Native Pipelines & Data Lake Expert employer: NewDay
Contact Detail:
NewDay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Cloud-Native Pipelines & Data Lake Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at NewDay. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with Spark, Scala, or AWS, make sure to highlight specific projects or achievements in your conversations. Real-world examples can really impress.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss how you’ve tackled data ingestion and transformation in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace Data Engineer: Cloud-Native Pipelines & Data Lake Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Spark, Scala, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 team. Let us know what excites you about working with data pipelines and analytics.
Show Off Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
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 NewDay
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Spark, Scala, and AWS. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities. Think of situations where you had to troubleshoot data ingestion or transformation issues and be ready to explain your thought process and the solutions you implemented.
✨Understand the Company Culture
Familiarise yourself with NewDay's commitment to diversity and inclusion. Be prepared to discuss how you can contribute to a supportive environment and why this aspect of their culture resonates with you.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team you'll be working with. This shows your genuine interest in the position and helps you assess if it's the right fit for you.