At a Glance
- Tasks: Build and optimise data pipelines while ensuring top-notch data quality.
- Company: Join Mercor, a forward-thinking company in the data engineering space.
- Benefits: Earn $90–$125 per hour with flexible remote work options.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact by developing innovative data solutions.
- Qualifications: BS or MS in a relevant field and 3+ years of data engineering experience.
The predicted salary is between 72000 - 100000 € per year.
Mercor is looking for a Data Engineering Expert for a remote contract position, offering $90–$125 per hour. The role involves building long-horizon pipeline tasks, developing ETL/ELT pipelines, and creating Airflow DAGs, all while ensuring data quality.
Candidates should have:
- A BS or MS in a relevant field
- At least 3 years of experience in data engineering or analytics engineering
- Strong communication skills
- Expertise in data engineering practices
Remote Data Engineer (Contract) Pipelines & QA in London employer: Mercor
Mercor is an exceptional employer that values innovation and collaboration, offering a dynamic remote work environment for Data Engineering Experts. With competitive hourly rates and a strong focus on employee growth, Mercor provides opportunities for professional development while fostering a culture of open communication and teamwork. Join us to be part of a forward-thinking company that prioritises quality and excellence in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer (Contract) Pipelines & QA 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 hunt for a remote contract role. You never know who might have the inside scoop on opportunities at companies like Mercor.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with ETL/ELT pipelines and Airflow DAGs. This will give potential employers a clear view of what you can bring to the table, especially when it comes to ensuring data quality.
✨Tip Number 3
Prepare for those interviews! Brush up on your communication skills and be ready to discuss your experience in data engineering. Practice explaining complex concepts in simple terms, as this will demonstrate your expertise and ability to collaborate effectively.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles like the Data Engineer position at Mercor. Plus, you'll get updates on new opportunities tailored to your skills and interests.
We think you need these skills to ace Remote Data Engineer (Contract) Pipelines & QA in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and analytics. We want to see how your skills align with building pipelines and ensuring data quality, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role at Mercor. Share specific examples of your work with ETL/ELT pipelines and Airflow DAGs to grab our attention.
Show Off Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Whether it’s in your CV or cover letter, clear and concise language will show us you can convey complex ideas effectively.
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 about the hiring process!
How to prepare for a job interview at Mercor
✨Know Your Pipelines
Make sure you can discuss your experience with building ETL/ELT pipelines in detail. Be ready to explain the tools and technologies you've used, like Airflow, and how you've ensured data quality in your previous projects.
✨Showcase Your Communication Skills
Since strong communication is key for this role, practice explaining complex data engineering concepts in simple terms. You might be asked to describe a technical challenge you faced and how you communicated it to non-technical stakeholders.
✨Prepare for Technical Questions
Brush up on your data engineering practices and be prepared for technical questions. You could be asked to solve a problem on the spot or discuss your approach to building long-horizon pipeline tasks, so think through your past experiences.
✨Research Mercor
Take some time to learn about Mercor and their projects. Understanding their business model and how data engineering fits into their goals will help you tailor your answers and show that you're genuinely interested in the role.
