Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to design and build data pipelines using AWS technologies.
- Company: We're a leading tech company in Sunderland, focused on innovative data solutions.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and great corporate perks.
- Why this job: Be part of a dynamic team that values creativity and impact in the tech industry.
- Qualifications: Experience with AWS and data engineering principles is essential.
- Other info: This role offers opportunities for professional growth and skill development.
The predicted salary is between 60000 - 70000 £ per year.
Data Engineer (AWS) - Sunderland - Hybrid - £60k - £70k employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (AWS) - Sunderland - Hybrid - £60k - £70k
✨Tip Number 1
Make sure to familiarize yourself with AWS services, especially those related to data engineering like Redshift, Glue, and S3. Having hands-on experience with these tools will give you a significant edge during the interview process.
✨Tip Number 2
Network with current Data Engineers or professionals in the field through platforms like LinkedIn. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable for your application.
✨Tip Number 3
Prepare to discuss real-world projects where you've implemented data pipelines or worked with large datasets. Being able to articulate your problem-solving skills and technical expertise will impress the hiring team.
✨Tip Number 4
Stay updated on the latest trends in data engineering and AWS developments. Showing that you're proactive about learning and adapting to new technologies can set you apart from other candidates.
We think you need these skills to ace Data Engineer (AWS) - Sunderland - Hybrid - £60k - £70k
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Data Engineer position. Familiarize yourself with AWS services and data engineering concepts that are relevant to the job.
Tailor Your CV: Customize your CV to highlight your experience with AWS, data pipelines, and any relevant programming languages. Make sure to include specific projects or achievements that demonstrate your skills in data engineering.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the job description. Explain why you are passionate about data engineering and how you can contribute to the company's success.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at CV-Library
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services during the interview. Be prepared to discuss specific projects where you've utilized AWS tools like S3, Redshift, or Lambda, and how they contributed to the success of your data engineering tasks.
✨Demonstrate Problem-Solving Skills
Data engineering often involves troubleshooting and optimizing data pipelines. Prepare to share examples of challenges you've faced in previous roles and how you approached solving them. This will show your analytical thinking and adaptability.
✨Understand the Company’s Data Needs
Research the company’s data strategy and be ready to discuss how your skills can help meet their specific needs. Tailoring your responses to align with their goals will demonstrate your genuine interest in the role and the organization.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your enthusiasm for the position but also helps you gauge if the company is the right fit for you.
