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Data Engineer - Pipeline Specialist

Mercor

Role overview

Qualifications

  • Data Engineers with experience in building and owning pipelines in production
  • Proficiency in SQL and Python
  • Experience with ETL, ELT, orchestration, streaming, and data warehousing
  • Must be based in the United Kingdom and have the right to work in the United Kingdom

Responsibilities

  • Produce professional documents and deliverables in Data Engineering
  • Collaborate with experts from other domains to build tasks and rubrics for AI model training
  • Utilize a core stack of SQL and Python for ETL and ELT processes
  • Work with tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure

Key facts

Hard skills

Other skills

  • Collaboration

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

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: UK-Based Data Engineering Experts
Type: Contract
Compensation: $140–$200/hour
Location: Remote
Duration: 14 September to 10 October 2026
Commitment: 40 hours/week

Role Responsibilities

  • Produce professional documents and deliverables in Data Engineering.
  • Collaborate with experts from other domains to build tasks and rubrics for AI model training.
  • Utilize a core stack of SQL and Python for ETL and ELT processes.
  • Work with tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure.
  • Document and structure work to enhance AI model evaluation.
  • Operate on a UK business-hours rhythm while maintaining independent work.

Qualifications

Must-Have

  • Data Engineers with experience in building and owning pipelines in production.
  • Proficiency in SQL and Python.
  • Experience with ETL, ELT, orchestration, streaming, and data warehousing.
  • Must be based in the United Kingdom and have the right to work in the United Kingdom.

Interview Process

  • Resume and work history screen.
  • Short assessment evaluating domain expertise.

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: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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