Data Engineer — Recruiting Analytics & Insights

Anthropic; York and North Yorkshire; Híbrido; GBP 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Fertility benefits

Parental Leave 22 weeks

Flexible time off

Mental health support

Equity packages

Relocation support

Descripción de la vacante

Anthropic is seeking a Recruiting Analytics Data Engineer to design scalable data architectures and robust data models powering recruiting analytics. You will build ETL/ELT pipelines using dbt and BigQuery, integrate Workday and Greenhouse data, and establish governance, security and data quality.

You’ll collaborate with data scientists, engineers and recruiting teams to translate HR concepts into scalable data products.

Formación

• Bachelor’s degree or equivalent experience required.
• Experience in data engineering at scale (5+ years).
• Strong knowledge of BigQuery optimization, partitioning and performance tuning.
• Proficiency in SQL, Python and modern ELT tools.

Responsabilidades

• Refactor and optimize BigQuery tables to scale data foundations for AI-driven insights.
• Design scalable data architectures and dimensional models for self-serve analytics.
• Implement data governance, lineage, quality monitoring and alerting.
• Build and maintain ETL/ELT pipelines using dbt and BigQuery, integrating Workday, Greenhouse and internal tools.
• Develop semantic layers and data products for non-technical users.
• Collaborate with data scientists, engineers, and recruiting teams to model workforce data.

Conocimientos

BigQuery

SQL

Python

dbt

Fivetran

Data modeling

Data governance

ETL/ELT

Workday

Greenhouse

Cloud data warehouses

Educación

Bachelor’s degree

Herramientas

BigQuery

dbt

Fivetran

Workday

Greenhouse

Descripción del empleo

Anthropic is seeking a Recruiting Analytics Data Engineer to design scalable data architectures and robust data models powering recruiting analytics. You will build ETL/ELT pipelines using dbt and BigQuery, integrate Workday and Greenhouse data, and establish governance, security and data quality.

You’ll collaborate with data scientists, engineers and recruiting teams to translate HR concepts into scalable data products.