DATA ENGINEERING EXPERT - UK BASED
mercor
Part-timemid€140-200/hour
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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, 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
• 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
SQLPythonETLELTSparkKafkaAirflowdbtSnowflakeBigQueryDatabricksAWSGCPAzure