DATA ENGINEER - PIPELINE SPECIALIST
mercor
Part-timemid€140-200/hour
Sign in to applyFree account, takes a minute.
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.
Skills
SQLPythonSparkKafkaAirflowdbtSnowflakeBigQueryDatabricksAWSGCPAzure