Data Engineering Expert - UK Based

Mercor; Greater London; On-site; GBP 13,225,000 - 19,837,000; Full time

Job summary

Mercor is recruiting UK-based Data Engineers for a short, intensive project with a globally leading AI lab. You will build and own production data pipelines using SQL and Python, collaborating with experts across domains to produce deliverables that train frontier AI models.

The role emphasizes hands-on engineering with a focus on ETL/ELT, orchestration, streaming and data warehousing, leveraging Spark, Airflow, Snowflake, BigQuery, Databricks on AWS/GCP/Azure.

Qualifications

• Core stack: SQL and Python with hands-on delivery across ETL/ELT, orchestration, streaming and warehousing.
• Experience deploying data pipelines in production environments.

Responsibilities

• Build and own production data pipelines end-to-end.
• Collaborate with domain experts to document and structure work for AI model training.
• Ensure data quality, monitoring, and reliability of pipelines.

Skills

SQL

Python

ETL/ELT

Orchestration

Streaming

Data Warehousing

Tools

Spark

Kafka

Airflow

dbt

Snowflake

BigQuery

Databricks

Job description

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

• 40 hours per week, running from 14 September to 10 October 2026
• The project team collaborates on a UK business-hours rhythm
• You should not be committed to other projects requiring significant hours during this period. Smaller side projects can be discussed.

The vetting process involves

• Resume and work history screen
• 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.