At a Glance
- Tasks: Design and optimise data pipelines for scalable processing and advanced analytics.
- Company: Join NTT DATA, a leader in Data & AI with a collaborative culture.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career advancement opportunities.
- Why this job: Lead innovative projects and make a real impact in the data engineering field.
- Qualifications: Deep expertise in AWS services and strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
NTT DATA is seeking a Lead Data Engineer – AWS for their Data & AI practice in Greater London. This role is crucial in designing and optimising end-to-end data pipelines for scalable processing and advanced analytics.
The successful candidate will have deep expertise in AWS services like Glue, data engineering, and will thrive in collaboration with architects and stakeholders to provide innovative data solutions.
Responsibilities include:
- Leading teams
- Mentoring engineers
- Ensuring the robustness of data processing frameworks
Senior Lead Data Engineer – AWS Data Pipelines employer: NTT DATA
NTT DATA is an exceptional employer that fosters a collaborative and innovative work culture, particularly within its Data & AI practice in Greater London. Employees benefit from comprehensive professional development opportunities, mentorship from experienced leaders, and the chance to work on cutting-edge AWS technologies, all while contributing to impactful data solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Data Engineer – AWS Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving AWS services like Glue. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering scenarios and be ready to discuss how you've led teams and mentored others in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with data pipelines and collaboration with stakeholders.
We think you need these skills to ace Senior Lead Data Engineer – AWS Data Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS services, especially Glue. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. We love hearing about your innovative ideas and collaborative spirit.
Showcase Your Leadership Skills:Since this role involves leading teams and mentoring engineers, make sure to include examples of your leadership experience. We’re looking for someone who can inspire and guide others in their data journey.
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 NTT DATA
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services, especially Glue. Be ready to discuss how you've used these tools in past projects and how they can be applied to optimise data pipelines.
✨Showcase Your Leadership Skills
Since this role involves leading teams and mentoring engineers, prepare examples that highlight your leadership experience. Think about times when you successfully guided a team through challenges or implemented innovative solutions.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data engineering and pipeline design. Practise explaining complex concepts clearly and concisely, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Demonstrate Collaboration Experience
Collaboration is key in this role, so be ready to share experiences where you worked closely with architects and other stakeholders. Highlight how you contributed to team success and the impact of your collaborative efforts on project outcomes.
