AI Training Data Engineer (Remote UK Contract)

Mercor; San Francisco (CA); Hybrid; GBP 145.000 - 207.000; Vollzeit

Zusammenfassung

Mercor is seeking UK-based Data Engineering experts for a remote contract role. You will own production pipelines, develop data-aware documents, and collaborate across domains to support AI model training. Core skills include SQL, Python, ETL/ELT, and data warehousing.

You will work across Spark, Kafka, Airflow and cloud platforms. UK business hours and independent work style are expected. Duration runs from 14 September to 10 October 2026, at 40 hours per week, with a remote setup.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Data pipelines

SQL

Python

ETL

ELT

orchestration

streaming

data warehousing

Tools

Spark

Kafka

Airflow

dbt

Snowflake

BigQuery

Databricks

AWS

GCP

Azure

Jobbeschreibung

Mercor is seeking UK-based Data Engineering experts for a remote contract role. You will own production pipelines, develop data-aware documents, and collaborate across domains to support AI model training. Core skills include SQL, Python, ETL/ELT, and data warehousing.

You will work across Spark, Kafka, Airflow and cloud platforms. UK business hours and independent work style are expected. Duration runs from 14 September to 10 October 2026, at 40 hours per week, with a remote setup.