Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data strategies and build scalable data pipelines using DBT and Snowflake.
- Company: Renowned data consultancy with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a chance to work on exciting projects.
- Why this job: Join a dynamic team and make a real impact in the data landscape.
- Qualifications: Experience with DBT, Snowflake, and strong data engineering skills.
The predicted salary is between 50000 - 65000 £ per year.
A renowned data consultancy is seeking a Mid & Senior Level Data Engineer in Liverpool. The role involves transforming data strategies and systems, requiring experience with DBT and Snowflake. You will build scalable data pipelines, integrate data from various sources, and collaborate with teams to enhance data solutions.
If interested, apply and your application will be reviewed by Ian Tittley from the Specialist Technology team.
Hybrid Senior Data Engineer | 3 Days In-Office, DBT & Snowflake employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior Data Engineer | 3 Days In-Office, DBT & Snowflake
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field, especially those who work with DBT and Snowflake. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable data pipelines. This is your chance to demonstrate what you can do beyond the CV.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of data strategies and systems. Practise common data engineering problems and be ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by Ian Tittley and the Specialist Technology team. Plus, it shows you’re serious about joining the crew!
We think you need these skills to ace Hybrid Senior Data Engineer | 3 Days In-Office, DBT & Snowflake
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with DBT and Snowflake. We want to see how you've transformed data strategies in previous roles, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real examples of your work, especially if they involve building scalable data pipelines or integrating diverse data sources.
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 it gets into the right hands—Ian Tittley from the Specialist Technology team will be reviewing them!
How to prepare for a job interview at Investigo
✨Know Your Tech Inside Out
Make sure you brush up on your DBT and Snowflake skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've built scalable data pipelines or integrated data from various sources. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Collaboration is Key
Since the role involves working with teams, think of examples that demonstrate your ability to collaborate effectively. Be ready to discuss how you’ve worked with others to enhance data solutions and what your role was in those scenarios.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data strategies and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.