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For Companies At a Glance
- Tasks: Design and maintain data pipelines while collaborating with analysts and data scientists.
- Company: Join a life-changing Health-Tech organisation in Manchester.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a collaborative team focused on data-driven decision-making.
- Why this job: Make a real impact by optimising data solutions in a fast-paced environment.
- Qualifications: 1+ years of experience with Python and AWS services.
The predicted salary is between 40000 - 50000 £ per year.
Morson Edge have partnered with an incredible, life-changing Health-Tech organisation, in their search for a talented Mid-Level Data Engineer to join their growing team in Manchester. This is a permanent opportunity for someone who is passionate about building scalable data solutions and enjoys working in a collaborative, fast-paced environment.
The Role
As a Data Engineer, you will play a key role in designing, developing, and maintaining data pipelines and infrastructure. You'll work closely with analysts, data scientists, and stakeholders to ensure data is accessible, reliable, and optimised for business use.
Key Responsibilities
- Develop and maintain robust data pipelines and ETL processes
- Work with large datasets to ensure data quality, integrity, and performance
- Collaborate with cross-functional teams to support data-driven decision-making
- Optimise and manage cloud-based data infrastructure
- Contribute to best practices in data engineering and architecture
Requirements
- Minimum 1 year of hands-on experience with Python
- At least 1 year of experience working with AWS (e.g. S3, Lambda, Redshift, or similar services)
- Strong understanding of data engineering principles and data modelling
AWS Data Engineer (Mid-Level) - Manchester employer: Morson Edge
Contact Detail:
Morson Edge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer (Mid-Level) - Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 data engineering projects, especially those involving AWS. 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 when solving problems, as this will demonstrate your expertise and collaborative spirit.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AWS Data Engineer (Mid-Level) - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AWS Data Engineer role. Highlight your experience with Python and AWS services like S3 and Lambda, as these are key for us. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for building scalable data solutions and working in a collaborative environment. Let us know why you're excited about this opportunity and how you can contribute to our team.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's developing data pipelines or optimising cloud infrastructure, we love to see real examples of your work that demonstrate your skills and experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Morson Edge
✨Know Your Tech Stack
Make sure you brush up on your knowledge of AWS services like S3, Lambda, and Redshift. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've developed and maintained data pipelines or ETL processes. Highlight your approach to ensuring data quality and integrity, as this will demonstrate your understanding of key data engineering principles.
✨Collaboration is Key
Since the role involves working closely with analysts and data scientists, be prepared to talk about your experience collaborating with cross-functional teams. Share examples of how you’ve contributed to data-driven decision-making in previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the company’s approach to data architecture, or any upcoming projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.