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- Tasks: Gather and design ETL patterns for large scale structured data.
- Company: Leading global professional services company with a focus on Data & AI.
- Benefits: Competitive salary, extensive benefits package, vacation days, and medical insurance.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: Mid-senior level experience in Cloud Data Engineering, ETL, PySpark, and AWS/GCP.
- Other info: Flexible onsite work with clients and opportunities for professional growth.
The predicted salary is between 60000 - 80000 £ per year.
A leading global professional services company is seeking a mid-senior level Cloud Data Engineer to join its Data & AI practice. This role involves gathering large scale structured data, designing ETL patterns, and implementing data quality procedures while contributing to best practices.
A competitive salary with an extensive benefits package, including vacation days and medical insurance, is offered. Flexibility to work onsite with clients is required.
Cloud Data Engineer - ETL, PySpark & AWS/GCP in London employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer - ETL, PySpark & AWS/GCP in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL designs, PySpark projects, and any AWS/GCP work you've done. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on common Cloud Data Engineer questions and be ready to discuss your experience with data quality procedures. Practice makes perfect, so consider mock interviews with friends.
✨Tip Number 4
Apply through our website! We’ve got loads of 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 Cloud Data Engineer - ETL, PySpark & AWS/GCP in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL processes, PySpark, and cloud platforms like AWS or GCP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our Data & AI practice. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We’re looking for someone who can design effective ETL patterns and ensure data quality, so share those success stories!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your ETL Patterns
Make sure you brush up on your ETL design patterns before the interview. Be ready to discuss specific examples of how you've implemented these in past projects, especially using tools like PySpark. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Showcase Your Cloud Expertise
Since this role involves AWS and GCP, be prepared to talk about your experience with these platforms. Highlight any specific projects where you’ve used cloud services for data engineering tasks. It’s a great way to demonstrate your hands-on skills and familiarity with cloud environments.
✨Data Quality Matters
Discuss your approach to ensuring data quality in your projects. Prepare to share examples of how you've implemented data quality procedures and the impact they had on your work. This shows that you value accuracy and reliability in data handling, which is crucial for this role.
✨Be Ready for Problem-Solving Questions
Expect some technical problem-solving questions during the interview. Practice explaining your thought process clearly and logically. This will help the interviewers see how you tackle challenges and come up with effective solutions, which is key for a Cloud Data Engineer.