Data Engineering Expert - UK Based

Mercor
London, UK
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£56,247.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Microsoft Azure BigQuery Information Engineering Extract Transform Load (ETL) Python (Programming Language) SQL Databases Snowflake Apache Spark Apache Kafka
+1 more
Databricks

Job description

  • Produce professional documents and deliverables in your field. Collaborate with experts from other domains.
  • Log outputs to build tasks and rubrics for training and evaluating frontier AI models.
  • Use professional judgment to enhance the value of the work.
  • Work on hands-on delivery or document and structure the work.
  • Collaborate on a UK business-hours rhythm. Ensure no significant commitments to other projects during this period.

Requirements

Must-Have

  • Data Engineering: Experience with SQL, Python, ETL, ELT, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks on AWS, GCP, or Azure.
  • Sales: Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/Revenue Operations Managers with B2B SaaS experience.
  • Consulting: Experience as Partners, Engagement Managers, Associates, or Consultants from top-tier strategy firms with target operating model or organizational redesign experience.
  • Must be based in the United Kingdom and have the right to work in the United Kingdom.

About the company

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

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