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Data Engineer - Pipeline Specialist

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Onsite

Data Engineer - Pipeline Specialist

Mercor

Data Engineer - Pipeline Specialist

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 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

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

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