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- Tasks: Lead the design and delivery of user-centred data solutions on AWS.
- Company: Join a leading digital consultancy known for innovation and collaboration.
- Benefits: Enjoy a competitive salary, flexible working, and 25 days holiday plus bank.
- Why this job: Make a real impact in a diverse team focused on user-centred design.
- Qualifications: Strong AWS knowledge and experience with Python, Snowflake, and Data Engineering tools required.
- Other info: Opportunity for personal wellbeing support and professional growth.
The predicted salary is between 42000 - 84000 £ per year.
We're partnered with a leading digital consultancy to find an experienced Senior AWS Data Engineer to join their innovative, multi-disciplinary team. This is a fantastic opportunity to lead the design and delivery of user-centred data solutions that drive real business value.
The Role: As a Senior Data Engineer, you'll act as a technical expert, shaping scalable data architectures and pipelines on AWS, collaborating closely with architects, engineers, and stakeholders to build integrated, evidence-based solutions.
Required experience:
- Strong knowledge of AWS Cloud Architecture
- Proven experience in AWS Data Engineering, including tools such as Python, Snowflake & Terraform.
- Previous experience working with Data Warehousing, Data Lakes or Data Meshes.
- Experience with logging tools such as Splunk or Elastic.
- Experience with databases such as NoSQL or SQL.
Benefits:
- Competitive salary
- Pension scheme
- 25 days holiday plus bank
- Flexible working
- Other perks like personal wellbeing support and professional growth opportunities.
If you're a Senior Data Engineer ready to make an impact with a company that values diversity, innovation, and user-centred design, get in touch today.
AWS Data Engineer - Up to £70K employer: Spinks HR
Contact Detail:
Spinks HR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer - Up to £70K
✨Tip Number 1
Familiarise yourself with the latest AWS services and tools relevant to data engineering. Being well-versed in AWS Cloud Architecture and specific tools like Snowflake and Terraform will give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the field by attending AWS meetups or data engineering conferences. Engaging with others can provide insights into industry trends and may even lead to referrals for job openings.
✨Tip Number 3
Prepare to discuss your previous projects involving data warehousing, data lakes, or data meshes. Be ready to explain your role and the impact of your work, as this will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Showcase your understanding of logging tools like Splunk or Elastic by discussing how you've used them in past roles. This knowledge is crucial for the position and will highlight your technical expertise to potential employers.
We think you need these skills to ace AWS Data Engineer - Up to £70K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS Cloud Architecture and Data Engineering. Include specific projects where you've used tools like Python, Snowflake, and Terraform to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the company's mission. Mention your experience with Data Warehousing, Data Lakes, or Data Meshes, and how you can contribute to their innovative team.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight your role, the technologies used, and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a technical role.
How to prepare for a job interview at Spinks HR
✨Showcase Your AWS Expertise
Make sure to highlight your strong knowledge of AWS Cloud Architecture during the interview. Be prepared to discuss specific projects where you've implemented AWS solutions, and how they contributed to the overall success of the business.
✨Demonstrate Technical Proficiency
Since the role requires experience with tools like Python, Snowflake, and Terraform, be ready to provide examples of how you've used these technologies in past projects. Discuss any challenges you faced and how you overcame them.
✨Discuss Data Solutions
Prepare to talk about your experience with Data Warehousing, Data Lakes, or Data Meshes. Think of specific instances where your contributions led to improved data management or analytics capabilities within an organisation.
✨Engage with the Interviewers
Don't forget that interviews are a two-way street! Prepare thoughtful questions about the company's data strategy and how they value user-centred design. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
