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- Tasks: Build data pipelines and ensure top-notch performance for AI evaluation.
- Company: Join a cutting-edge company backed by top investors in the tech world.
- Benefits: Competitive hourly pay, remote work flexibility, and opportunities for growth.
- Other info: Dynamic remote role with daily application reviews and quick hiring process.
- Why this job: Make an impact in AI research while working with elite talent.
- Qualifications: 3+ years in data engineering and expertise in pipeline orchestration.
The predicted salary is between 72000 - 104000 £ per year.
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Engineering Expert
Type: Contract
Compensation: $90–$125/hour
Location: Remote
Role Responsibilities
- Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth.
- Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior.
- Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases.
- Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets.
- Work independently in long focus sessions to create challenging scenarios for agent evaluation.
- Ensure tasks have checkable answers without open-ended essays or subjective judgment calls.
Qualifications Must-Have
- BS or MS in CS or related field.
- 3+ years in data engineering or analytics engineering.
- Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing.
- Comfortable with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, and test suites.
- Clear written communication skills to articulate reasoning and encode it into deterministic rubrics.
Compensation & Legal
Hourly contractor. Strong contributors are promoted based on task quality and throughput.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Data Engineering Expert - Pipelines in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Expert - Pipelines in London
✨Tip Number 1
Get familiar with the tools and technologies mentioned in the job description. Brush up on your dbt model development and pipeline orchestration skills, as these are crucial for the role. We want to see you shine in your interview!
✨Tip Number 2
Practice articulating your thought process clearly. Since clear communication is key, try explaining your past projects or technical concepts to a friend. This will help you convey your expertise effectively during the AI interview.
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! Prepare some examples of challenging scenarios you've tackled in data engineering. We love to see how you approach complex tasks and ensure quality outcomes.
✨Tip Number 4
Apply through our website! It’s quick and easy, and we review applications daily. Completing your AI interview and application steps promptly will give you a better chance at landing that contract role with us.
We think you need these skills to ace Data Engineering Expert - Pipelines in London
Some tips for your application 🫡
Craft a Stellar Resume: Make sure your resume is tailored to highlight your data engineering skills and experience. We want to see your expertise in dbt model development and pipeline orchestration shine through!
Nail the AI Interview: The AI interview is your chance to showcase your knowledge and skills. Be clear and concise in your responses, and don't hesitate to demonstrate your understanding of data quality and testing.
Show Off Your Communication Skills: Since clear written communication is key for this role, ensure your application materials reflect your ability to articulate complex ideas simply. We love seeing candidates who can encode their reasoning into deterministic rubrics!
Apply Through Our Website: Don't forget to apply through our website! It’s the easiest way for us to receive your application and get you into the process. Plus, we review applications daily, so the sooner you apply, the better!
How to prepare for a job interview at Mercor
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like dbt, Airflow, and data warehousing solutions. Brush up on your knowledge of pipeline orchestration and be ready to discuss your past experiences with these technologies.
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of ETL/ELT processes and data quality testing. Practise explaining your thought process clearly, as communication is key. You might even want to run through some sample scenarios or problems to showcase your problem-solving skills.
✨Showcase Your Project Experience
Be ready to discuss specific projects where you’ve built pipelines or worked on data engineering tasks. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and ability to work independently.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data practices or the team’s workflow. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewer on a deeper level.