Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform raw data into reliable models using dbt on Google Cloud Platform.
- Company: Leading UK consultancy with a focus on data engineering.
- Benefits: Attractive salary, flexible remote work, and health perks.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: Strong SQL skills and experience in data modelling required.
- Other info: Flexible work environment with opportunities for professional growth.
The predicted salary is between 50000 - 70000 £ per year.
A leading consultancy in the UK seeks a Data Engineer with senior experience to join their Data Engineering team. The role involves transforming raw data into reliable models using dbt within Google Cloud Platform.
Candidates should possess strong SQL skills, experience in data modeling, and familiarity with agile principles.
This position offers a flexible remote work environment, an attractive salary between £50,000 - £70,000 based on experience, and numerous perks supporting health and professional growth.
Senior GCP Data Engineer: dbt & BigQuery — Remote & Flexible in Liverpool employer: Intuita - Vacancies
Contact Detail:
Intuita - Vacancies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GCP Data Engineer: dbt & BigQuery — Remote & Flexible in Liverpool
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with GCP, dbt, or BigQuery. 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 data models and projects using dbt and BigQuery. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on agile principles and SQL queries. We recommend practising common data engineering scenarios and how you would tackle them. Confidence is key!
✨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 Senior GCP Data Engineer: dbt & BigQuery — Remote & Flexible in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with dbt and BigQuery. We want to see how you've transformed raw data into reliable models, so don’t hold back on those details!
Show Off Your SQL Skills: Since strong SQL skills are a must, include specific examples of how you've used SQL in your previous roles. We love seeing real-world applications that demonstrate your expertise.
Emphasise Agile Experience: If you’ve worked in agile environments, let us know! Share how you’ve contributed to team projects and adapted to changing requirements. It’s all about collaboration here at StudySmarter.
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 this exciting opportunity!
How to prepare for a job interview at Intuita - Vacancies
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and get comfortable with dbt and BigQuery. Be ready to discuss specific projects where you've transformed raw data into reliable models, as this will show your hands-on experience.
✨Showcase Your Agile Mindset
Since the role involves agile principles, be prepared to talk about how you've worked in agile teams before. Share examples of how you've adapted to changes quickly and collaborated effectively with others.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using your data engineering skills. Practice explaining your thought process clearly, as this will demonstrate your analytical abilities and problem-solving skills.
✨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 data strategy or how they support professional growth, which can help you gauge if it’s the right fit for you.
