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- Tasks: Design and build cloud-native data platforms while mentoring fellow engineers.
- Company: Join a dynamic team in Leeds focused on innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and a supportive work culture.
- Why this job: Be part of impactful projects that shape data practices and enhance your skills.
- Qualifications: Strong AWS experience and proficiency in SQL and Python are essential.
- Other info: Flexible working with just two days on-site in Leeds.
The predicted salary is between 43200 - 72000 £ per year.
AWS Data Engineer – Leeds / Hybrid – Upto £60K
We’re looking for a Data Engineer to join a growing data team and play a key role in designing, building, and maintaining cloud-native data platforms. The role is based in Leeds (2 days per week on-site) with flexibility for hybrid working.
The role:
- Design and implement scalable data architectures in the cloud, ensuring secure and reliable data pipelines.
- Work across the full data lifecycle, supporting data scientists, analysts, and engineering teams.
- Lead development projects, data modelling, and cloud data platform deployments.
- Mentor data engineers and contribute to best practices across the team.
Key skills:
- Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation).
- Proficiency in SQL, Python (Pandas), Spark or Iceberg.
- Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild).
- Knowledge of infrastructure as code, performance tuning, and data migration.
- Exposure to DBT, Docker, or Microsoft BI stack is a plus.
What’s on offer:
- Opportunity to work on large-scale, high-impact data projects.
- A collaborative, supportive environment with scope to grow and influence data practices.
- Competitive package and benefits + bonus
AWS Data Engineer employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS data services mentioned in the job description, such as S3, Redshift, and Glue. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of StudySmarter or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data lifecycle management and how you've supported data teams in previous roles. Be ready to share specific examples that highlight your leadership and mentoring abilities.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering, especially around cloud-native architectures and CI/CD pipelines. Demonstrating your knowledge of current industry standards can impress interviewers and show your commitment to continuous learning.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS data services, SQL, and Python. Use specific examples from your past work that demonstrate your skills in designing scalable data architectures and leading development projects.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience with cloud-native data platforms and mentoring other engineers.
Showcase Relevant Projects: If you have worked on significant data projects, include them in your application. Describe your role, the technologies used (like Glue or Lambda), and the impact of your contributions to demonstrate your capability.
Highlight Soft Skills: Don’t forget to mention your collaborative spirit and ability to mentor others. These soft skills are crucial for the role and can set you apart from other candidates.
How to prepare for a job interview at Corecom Consulting
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS data services like S3, Redshift, and Glue. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on knowledge and ability to contribute to the team.
✨Demonstrate Your Data Lifecycle Knowledge
Since the role involves working across the full data lifecycle, be ready to explain your understanding of data modelling, ETL/ELT processes, and how you’ve supported data scientists and analysts in previous roles. Use examples to illustrate your contributions.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Python, and Spark. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident during this part of the interview.
✨Emphasise Mentorship and Collaboration
As mentoring is a key aspect of the role, think about times when you've guided others or contributed to best practices. Highlight your collaborative spirit and how you can help foster a supportive environment within the team.
