Remote Data Engineer for AI Model Training (Contract, UK)

Mercor; San Francisco (CA); Hybrid; GBP 146,000 - 208,000; Part time

Job summary

Mercor is seeking UK-based Data Engineering Experts for a short-term contract to support AI model training and data pipelines. The role focuses on building production-grade data pipelines using SQL and Python, with orchestration and data warehousing across AWS/GCP/Azure.

The project runs from 14 September 2026 to 10 October 2026, at 40 hours per week, with remote work from the UK. Candidates should be eligible to work in the United Kingdom and able to work UK business hours.

Qualifications

• Data Engineers with experience 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
• Document and structure work to enhance AI model evaluation
• Operate on a UK business-hours rhythm while maintaining independent work

Skills

SQL

Python

Data pipelines

Production data engineering

Tools

Airflow

dbt

Spark

Kafka

Snowflake

BigQuery

Databricks

AWS

GCP

Azure

Job description

Mercor is seeking UK-based Data Engineering Experts for a short-term contract to support AI model training and data pipelines. The role focuses on building production-grade data pipelines using SQL and Python, with orchestration and data warehousing across AWS/GCP/Azure.

The project runs from 14 September 2026 to 10 October 2026, at 40 hours per week, with remote work from the UK. Candidates should be eligible to work in the United Kingdom and able to work UK business hours.