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- Tasks: Build and develop ETL/ELT pipelines and dbt models in a remote setting.
- Company: Join Mercor, a forward-thinking company focused on data engineering excellence.
- Benefits: Enjoy flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic remote team with a focus on innovation and quality.
- Why this job: Make an impact by ensuring high-quality data processes and tackling challenging scenarios.
- Qualifications: BS or MS in Computer Science and 3+ years of data engineering experience required.
The predicted salary is between 50000 - 60000 £ per year.
Mercor is seeking a Data Engineering Expert to build and develop ETL/ELT pipelines, dbt models, and Airflow/Dagster DAGs. The ideal candidate will have a BS or MS in Computer Science or a related field, plus over 3 years of experience in data engineering or analytics engineering. As part of a remote team, you'll create challenging scenarios for agent evaluation and ensure high-quality data processes. Strong written communication skills and familiarity with data engineering artifacts are essential.
Remote Data Engineer - ETL/dbt Pipelines & Quality in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineer - ETL/dbt Pipelines & Quality in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT pipelines, dbt models, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you'd tackle challenges related to data quality and pipeline efficiency. Practising these will help you feel more confident when discussing your experience.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Remote Data Engineer - ETL/dbt Pipelines & Quality in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with ETL/ELT pipelines and dbt models. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the listing to show us you’re a perfect fit for the Data Engineering Expert role.
Be Clear and Concise: Strong written communication is key! Keep your application clear and to the point, showcasing your relevant experience without unnecessary fluff.
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 any important updates!
How to prepare for a job interview at Mercor
✨Know Your ETL/ELT Inside Out
Make sure you brush up on your knowledge of ETL and ELT processes. Be ready to discuss your experience with building pipelines and how you've tackled challenges in the past. Having specific examples from your previous work will show that you know your stuff!
✨Show Off Your dbt Skills
Since dbt models are a key part of the role, be prepared to talk about your experience with dbt. Share any projects where you've used dbt to transform data and how it improved your workflow. If you can, bring along some code snippets or documentation to showcase your expertise.
✨Communicate Clearly and Effectively
Strong written communication skills are essential for this position. Practice explaining complex data concepts in simple terms. During the interview, make sure to articulate your thoughts clearly and ask clarifying questions if needed. This will demonstrate your ability to communicate effectively within a remote team.
✨Familiarise Yourself with Airflow/Dagster
Since you'll be working with Airflow or Dagster, it's crucial to understand how these tools function. Prepare to discuss your experience with scheduling and monitoring workflows. If you have any tips or tricks for optimising these tools, share them during the interview to highlight your hands-on experience.