Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop ETL pipelines and ensure top-notch data quality.
- Company: Join Mercor, a forward-thinking company in the data engineering space.
- Benefits: Competitive hourly pay, remote work flexibility, and a supportive interview process.
- Other info: Enjoy a dynamic remote work environment with growth opportunities.
- Why this job: Make an impact by building complex evaluation scenarios with cutting-edge tools.
- Qualifications: BS or MS in CS and 3+ years of data engineering experience required.
The predicted salary is between 72000 - 100000 £ per year.
Mercor is seeking a Data Engineering Expert to develop ETL pipelines and ensure data quality. This role requires a BS or MS in CS and 3+ years of experience in data engineering, specializing in tools like dbt, Airflow, and Snowflake.
The position offers competitive hourly compensation ranging from $90–$125 and allows for independent work towards building complex evaluation scenarios. Remote work is possible, and applicants should prepare for a quick, supportive interview process.
Remote Data Engineering Expert - ETL Pipelines & dbt in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineering Expert - ETL Pipelines & dbt in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to Mercor.
✨Tip Number 2
Prepare for those interviews! Brush up on your ETL pipeline knowledge and be ready to discuss your experience with dbt, Airflow, and Snowflake. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your skills! If you’ve worked on any cool projects or have a portfolio, make sure to highlight that during your interview. We love seeing real-world applications of your expertise!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at Mercor. Don’t miss out on this opportunity!
We think you need these skills to ace Remote Data Engineering Expert - ETL Pipelines & dbt in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with ETL pipelines and tools like dbt, Airflow, and Snowflake. We want to see how your background aligns with what we're looking for!
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Data Engineering Expert role. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point.
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!
How to prepare for a job interview at Mercor
✨Know Your Tools Inside Out
Make sure you’re well-versed in dbt, Airflow, and Snowflake. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. Specific examples will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex evaluation scenarios you've tackled in the past. Mercor is looking for someone who can develop ETL pipelines effectively, so share specific challenges you faced and how you overcame them. This will demonstrate your critical thinking and adaptability.
✨Emphasise Data Quality
Since ensuring data quality is a key part of the role, come prepared with examples of how you've maintained or improved data integrity in your previous work. Discuss any strategies or tools you’ve implemented to ensure high-quality data outputs.
✨Be Ready for a Quick Process
With a supportive interview process, be prepared for potentially rapid-fire questions. Practice common interview questions related to data engineering and have your answers concise and to the point. This will help you make a strong impression right from the start.