At a Glance
- Tasks: Design and implement data solutions using AWS and Python for the pharma sector.
- Company: Global consultancy with a focus on innovative projects in the pharmaceutical industry.
- Benefits: Flexible contract rates, fully remote work, and potential for extension.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the healthcare space.
- Qualifications: Experience with AWS, Python, and strong data modelling skills required.
The predicted salary is between 50000 - 65000 € per year.
Our client is a global consultancy currently delivering a project within the pharma space and is seeking an experienced AWS Data Engineer to join on a contract basis.
Key Skills:
- AWS & Python expertise: DynamoDB schema design (partition keys, GSIs, Streams), AWS QuickSight, pandas/boto3, ETL pipelines, S3, Lambda
- Strong data modelling & BI skills: scalable NoSQL design, dashboarding, data quality, performance tuning
- Engineering & collaboration: Git, CI/CD, documentation, and cross-team communication
Contract Details:
- This position is flexible on rate (Inside IR35 via Umbrella)
- Initial contract is 6 Months, with likelihood to extend
- Fully remote within the UK
AWS Data Engineer employer: RevTech
As a global consultancy, our client offers an exceptional work environment for AWS Data Engineers, providing the opportunity to work on impactful projects within the pharma sector. With a fully remote setup across the UK, employees enjoy a flexible work-life balance, competitive rates, and a culture that fosters collaboration and continuous learning, ensuring that every team member can grow their skills and advance their career in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or in data engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, especially those involving DynamoDB, ETL pipelines, and data modelling. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AWS scenarios and problem-solving questions. Practise explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
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 AWS and Python expertise, especially in areas like DynamoDB schema design and ETL pipelines. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the AWS Data Engineer role. Mention specific projects or experiences that relate to the key skills listed in the job description.
Showcase Your Collaboration Skills:Since this role involves engineering and collaboration, make sure to mention any experience you have with Git, CI/CD, and cross-team communication. We love seeing candidates who can work well with others and contribute to a team environment!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at RevTech
✨Know Your AWS Inside Out
Make sure you brush up on your AWS skills, especially around DynamoDB schema design and ETL pipelines. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Show Off Your Data Modelling Skills
Prepare to talk about your experience with scalable NoSQL design and performance tuning. Bring examples of dashboards you've created using AWS QuickSight and how they improved data quality or decision-making in previous roles.
✨Collaboration is Key
Since this role involves cross-team communication, be ready to share examples of how you've worked with others in the past. Highlight your experience with Git and CI/CD processes, and how you ensure documentation is clear and accessible for everyone involved.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the project and the company. Inquire about the team dynamics, the specific challenges they face in the pharma space, and how they measure success in this role.
