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- Tasks: Build and optimise data pipelines for cutting-edge AI projects.
- Company: Join a leading AI research lab backed by top investors.
- Benefits: Competitive hourly rate, remote work, and opportunities for promotion.
- Other info: Dynamic remote environment with daily application reviews.
- Why this job: Make a real impact in the AI field while working with elite talent.
- Qualifications: 3+ years in data engineering and expertise in dbt and pipeline orchestration.
The predicted salary is between 72000 - 104000 £ per year.
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: 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.
Big Data Engineer in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Engineer in London
✨Tip Number 1
Get familiar with the tools mentioned in the job description, like dbt, Airflow, and Snowflake. We recommend brushing up on your skills and even building a small project to showcase your expertise.
✨Tip Number 2
Practice your communication skills! Being able to clearly articulate your thought process is key. We suggest doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Don’t forget to network! Connect with professionals in the data engineering field on LinkedIn. We can help you find opportunities through our website, so keep an eye out for openings.
✨Tip Number 4
Finally, be proactive! After applying, follow up if you haven’t heard back. It shows your enthusiasm and commitment. Remember, we review applications daily, so don’t hesitate to reach out!
We think you need these skills to ace Big Data Engineer in London
Some tips for your application 🫡
Craft a Stellar Resume: Make sure your resume is tailored to highlight your experience in data engineering and analytics. 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 skills. Be clear and concise in your responses, and don't hesitate to demonstrate your knowledge of data quality and testing. We’re looking for clarity in communication!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially in building ETL/ELT pipelines or designing warehouse schemas.
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to review your application and get you into the process. We can’t wait to see what you bring to the table!
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 ETL/ELT processes and be ready to discuss how you've implemented these in past projects.
✨Prepare for Scenario-Based Questions
Expect to face questions that assess your problem-solving skills. Think about specific scenarios where you had to design pipelines or ensure data quality. Be ready to explain your thought process and the outcomes of your decisions.
✨Showcase Your Communication Skills
Since clear written communication is a must-have, practice articulating your ideas clearly. You might be asked to explain complex concepts simply, so prepare to demonstrate how you can encode reasoning into deterministic rubrics.
✨Familiarise Yourself with the Company
Research Mercor and its mission to connect talent with AI research labs. Understanding their values and goals will help you align your answers with what they’re looking for, showing that you’re genuinely interested in the role and the company.