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Data Engineering Expert - UK Based

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Onsite

Data Engineering Expert - UK Based

Mercor

Data Engineering Expert - UK Based

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonKafkaSnowflakeDatabricksAIAWSdbtApache AirflowAzure

2 months ago

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Important information


Contract type:

Part time

Location:

United Kingdom

Work mode:

Onsite

Published on:

10 September 2026

What they need


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, Sales, and Consulting 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 your field. Collaborate with experts from other domains.
  • Log outputs to build tasks and rubrics for training and evaluating frontier AI models.
  • Use professional judgment to enhance the value of the work.
  • Work on hands-on delivery or document and structure the work.
  • Collaborate on a UK business-hours rhythm. Ensure no significant commitments to other projects during this period.

Qualifications Must-Have

  • Data Engineering: Experience with SQL, Python, ETL, ELT, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks on AWS, GCP, or Azure.
  • Sales: Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/Revenue Operations Managers with B2B SaaS experience.
  • Consulting: Experience as Partners, Engagement Managers, Associates, or Consultants from top-tier strategy firms with target operating model or organizational redesign experience.
  • Must be based in the United Kingdom and have the right to work in the United Kingdom.

Interview Process

  • Resume and work history screen
  • A 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

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

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