At a Glance
- Tasks: Design and optimise scalable data pipelines on AWS while collaborating with engineers.
- Company: Join NTT DATA UK Ltd., a leader in innovative data solutions.
- Benefits: Enjoy flexible working options, continuous learning, and career development opportunities.
- Other info: Embrace a culture of continuous learning and growth.
- Why this job: Make an impact by ensuring data quality and performance in a dynamic environment.
- Qualifications: Hands-on experience with AWS Glue, Python/PySpark, and SQL is essential.
The predicted salary is between 50000 - 70000 € per year.
NTT DATA UK Ltd. is seeking a Data Engineer to support the design, development, and optimization of scalable data pipelines on AWS. The role involves collaborating with engineers to build and maintain data platforms, ensuring data quality and performance.
The ideal candidate will have hands-on experience with AWS Glue, Python/PySpark, and SQL. This position emphasizes continuous learning and career development with flexible working options provided.
AWS Data Engineer — Flexible Work & Scalable Pipelines in London employer: NTT DATA UK Ltd.
NTT DATA UK Ltd. is an excellent employer that prioritises employee growth and development, offering a dynamic work culture where innovation thrives. With flexible working options and a strong emphasis on continuous learning, employees are empowered to enhance their skills while contributing to impactful projects in the realm of data engineering. The collaborative environment fosters teamwork and creativity, making it a rewarding place for those looking to advance their careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer — Flexible Work & Scalable Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS Glue, Python/PySpark, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and problem-solving skills, as this is key in demonstrating your fit for the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AWS Data Engineer — Flexible Work & Scalable Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS Glue, Python/PySpark, and SQL. 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 excited about the Data Engineer position and how your background makes you a great fit. We love seeing passion and personality!
Showcase Continuous Learning:Since we value continuous learning, mention any recent courses, certifications, or personal projects that demonstrate your commitment to growing your skills in data engineering. It shows us you’re proactive and eager to develop!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents!
How to prepare for a job interview at NTT DATA UK Ltd.
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services, especially AWS Glue. Be ready to discuss how you've used these tools in past projects and how they can be applied to build scalable data pipelines.
✨Show Off Your Coding Skills
Since Python/PySpark and SQL are key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Emphasise Collaboration
This role involves working closely with other engineers, so highlight your teamwork experience. Share examples of how you've collaborated on projects, tackled challenges together, and contributed to a positive team environment.
✨Continuous Learning is Key
NTT DATA values continuous learning, so be prepared to discuss how you stay updated with industry trends and technologies. Mention any courses, certifications, or personal projects that showcase your commitment to professional growth.
