At a Glance
- Tasks: Lead cloud migrations and design data pipelines using GCP technologies.
- Company: Global AI and data solutions company based in Edinburgh.
- Benefits: Flexible hybrid working options and competitive salary.
- Other info: Opportunity to work on innovative projects with a dynamic team.
- Why this job: Join a cutting-edge team and shape the future of data solutions.
- Qualifications: 10+ years of experience in GCP, strong leadership, and proactive mindset.
The predicted salary is between 70000 - 90000 £ per year.
A global AI and data solutions company seeks an experienced GCP Data Engineer in Edinburgh. The role focuses on migrating legacy data platforms to Google Cloud, leveraging strong expertise in DBT, Cloud Composer, Python, and Terraform.
Responsibilities include:
- Designing data pipelines
- Ensuring data quality
- Leading a team for optimal data solutions
Ideal candidates will have over 10 years of experience, strong leadership skills, and a proactive approach. Flexible hybrid working options available.
GCP Data Engineer: Lead Cloud Migrations & Data Pipelines employer: exl
Join a leading global AI and data solutions company in Edinburgh, where innovation meets opportunity. With a strong emphasis on employee growth, we offer flexible hybrid working options, a collaborative work culture, and the chance to lead impactful projects in cloud migration and data engineering. Our commitment to professional development ensures that you will thrive in your career while contributing to cutting-edge solutions.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer: Lead Cloud Migrations & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with GCP or data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to DBT, Cloud Composer, and Python. 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 GCP scenarios and data pipeline challenges. We recommend practising with mock interviews to build confidence and refine your answers.
✨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 GCP Data Engineer: Lead Cloud Migrations & Data Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, DBT, and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about cloud migrations and how your leadership experience can benefit our team. Keep it engaging and personal.
Showcase Your Technical Skills:Don’t forget to mention your expertise in Python, Cloud Composer, and Terraform. We love seeing specific examples of how you've used these tools in past projects, so get into the details!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at exl
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss your experience with migrating legacy data platforms and how you've used tools like DBT, Cloud Composer, and Terraform in past projects.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed teams in the past. Highlight your proactive approach and any specific challenges you've overcome while leading data projects.
✨Prepare for Technical Questions
Expect some technical questions related to data pipelines and ensuring data quality. Practise explaining your thought process when designing these systems, as well as any best practices you follow to maintain data integrity.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data migration projects or how they envision the future of their data solutions, which will demonstrate your enthusiasm and strategic thinking.
