Data Engineer - Pipeline Specialist
Summary
A short-term (14 Sep–10 Oct 2026), full-time UK project via Mercor for an AI lab: data engineers produce professional documents and deliverables that become tasks and rubrics to train and evaluate frontier AI models. Core stack: SQL and Python with ETL/ELT, orchestration, streaming, and warehousing tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks on AWS/GCP/Azure.
Mercor is recruiting UK-Based Data Engineering, experts for a short, intensive project with a globally leading AI lab.
What the work involves
You will produce the kind of professional documents and deliverables you create day to day in your own field, working alongside experts from the other two domains. Those outputs are then logged and used to build the tasks and rubrics that train and evaluate frontier AI models, so your professional judgement is the core of what makes the work valuable.
Who we are looking for
- Data Engineers: hands‑on data engineers who build and own pipelines in production. Titles such as Data Engineer, Senior or Staff Data Engineer, Analytics Engineer, Data Platform Engineer and Data Architect. We are looking for a core stack of SQL and Python, with experience across ETL and ELT, orchestration, streaming and data warehousing, using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure.
Some roles focus on hands‑on delivery, others on documenting and structuring that work.
Commitment
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40 hours per week, running from 14 September to 10 October 2026
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The project team collaborates on a UK business‑hours rhythm
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You should not be committed to other projects requiring significant hours during this period. Smaller side projects can be discussed.
The vetting process involves
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Resume and work history screen
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A short assessment evaluating domain expertise
Please note:
Candidates must be based in the United Kingdom and have the right to work in the United Kingdom. This is an essential requirement for the role.