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- Tasks: Support data management, develop ETL processes, and ensure data quality.
- Company: Leading global professional services company with a strong reputation.
- Benefits: Competitive salary, 25 days PTO, medical benefits, and time off for charity work.
- Other info: Flexible onsite collaboration with clients and great career growth opportunities.
- Why this job: Join a dynamic team and make an impact in the cloud data space.
- Qualifications: Expertise in Python, PySpark, PySQL, and AWS required.
The predicted salary is between 50000 - 65000 £ per year.
A leading global professional services company is seeking a Cloud Data Engineer in Glasgow. This role involves supporting data management processes, developing ETL mechanisms, and implementing data quality procedures.
The ideal candidate will have expertise in Python, PySpark, PySQL, and AWS.
A competitive salary, extensive benefits including 25 vacation days, and additional leave for charitable work will be provided. Flexibility for onsite collaboration with clients is required.
Cloud Data Engineer – AWS/PySpark | 25 Days PTO + Medical employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer – AWS/PySpark | 25 Days PTO + Medical
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, PySpark, and AWS. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to data management and ETL processes. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Cloud Data Engineer – AWS/PySpark | 25 Days PTO + Medical
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PySpark, and AWS. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Cloud Data Engineer position and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data management challenges in the past. We love seeing candidates who can think critically and implement effective solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Accenture
✨Know Your Tech Inside Out
Make sure you brush up on your Python, PySpark, and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Management Skills
Prepare examples of how you've supported data management processes in the past. Highlight your experience with developing ETL mechanisms and implementing data quality procedures, as these are key aspects of the role.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving abilities. Think about how you would approach common issues in data engineering, especially in a cloud environment, and be prepared to explain your thought process.
✨Demonstrate Flexibility and Collaboration
Since the role requires onsite collaboration with clients, be ready to discuss your experience working in team settings. Share examples of how you've successfully collaborated with others to achieve project goals, and express your willingness to adapt to client needs.