Data Engineer - Pipeline Specialist

About the role

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 ExpertsType:ContractCompensation:$140–$200/hourLocation:RemoteDuration:14 September to 10 October 2026Commitment: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: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas

Skills mentioned in the listing

PythonSQLAWSAzureGoogle CloudSparkDatabricksSnowflakeETLData engineering

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · mentioned
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 Azur

SQL · mentioned
ains 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,

AWS · mentioned
h 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 in

Azure · mentioned
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 wor

Google Cloud · mentioned
ls 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 indepen

Spark · mentioned
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 eval

Databricks · mentioned
ses. 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

Snowflake · mentioned
on 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 bus

ETL · mentioned
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. Documen

Data engineering · mentioned
Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: UK-Based Data Engineering ExpertsType:ContractCompensation:$140–$200/hourLocation:RemoteDuration:14 September to 10 October 2026Commitment:40 hours/w