Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance data frameworks and implement effective Data Quality Frameworks remotely.
- Company: Global tech services provider focused on innovation and responsible practices.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a team that values innovation while working with cutting-edge data technologies.
- Qualifications: Strong skills in Spark and Databricks required.
- Other info: Local hiring commitment and dynamic work environment.
The predicted salary is between 36000 - 60000 £ per year.
A global technology services provider is seeking a Data Engineer to enhance and implement data frameworks within a flexible remote job structure. You will assess the current state of Databricks ETLs, collaborate on choosing pilot ETLs, and ensure the Data Quality Framework is applicable and implemented effectively.
Candidates should have strong skills in Spark and Databricks. NTT DATA emphasizes innovation and responsible practices, with a commitment to local hiring when possible.
Remote Data Engineer — Databricks & Data Quality Pilot employer: NTT DATA, Inc.
Contact Detail:
NTT DATA, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineer — Databricks & Data Quality Pilot
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Databricks and data quality. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Spark and Databricks. This gives you a chance to demonstrate your expertise and makes you stand out during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your ETL processes and be ready to discuss how you would enhance data frameworks. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote Data Engineer — Databricks & Data Quality Pilot
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Spark. 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 innovative approach at StudySmarter. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data quality or ETL processes. We love seeing candidates who can think critically and come up with effective solutions!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at NTT DATA, Inc.
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with ETL processes and how you've used Spark in past projects. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. NTT DATA values innovation, so demonstrating your ability to think critically and creatively about data quality issues will set you apart.
✨Understand Their Data Quality Framework
Familiarise yourself with what a Data Quality Framework entails and be ready to discuss how you would assess and implement it. Showing that you understand the importance of data integrity and quality will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data engineering and their future projects. This not only shows your interest in the role but also gives you a chance to gauge if their values align with yours, especially regarding innovation and responsible practices.
