Data Engineer (Recruiting Analytics)

Anthropic; York and North Yorkshire; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Fertility benefits

Parental Leave 22 weeks

Flexible time off

Mental health support

Equity packages

Relocation support

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

BigQuery

SQL

Python

dbt

Fivetran

Data modeling

Data governance

ETL/ELT

Workday

Greenhouse

Cloud data warehouses

Education

Bachelor’s degree

Tools

BigQuery

dbt

Fivetran

Workday

Greenhouse

Job description

• We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities
• You’ll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic
• This role sits at the intersection of data engineering and recruiting analytics - you’ll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that’s actively experimenting with AI to transform how we understand and support our workforce
• Data Infrastructure & Modeling:
• Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company
• Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance
• Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems
• Ensure appropriate data access controls including row and column-level security for sensitive candidate data
• Pipeline Development & Integration:
• Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools
• Create reliable data flows that handle both real-time needs and batch processing requirements
• Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness
• Automate data quality checks and validation across all pipelines
• Analytics Engineering & Modeling:
• Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users
• Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement
• Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

• Are an expert in BigQuery including optimization and partitioning
• Are proficient in SQL, Python, and modern tools like dbt and Fivetran
• Communicate effectively with both technical and business stakeholders
• Have built dimensional models and understand slowly changing dimensions
• Have implemented data security and privacy controls in cloud warehouses
• Can translate HR concepts into scalable data models
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Familiarity with workforce planning and predictive analytics use cases
• Previous experience in high-growth technology companies or AI/ML organizations
• Experience with building semantic layers for data agents
• Familiarity with ATS platforms (Greenhouse, Lever) and their data structures
• Have 5+ years in data engineering
• Knowledge of graph databases or network analysis libraries
• Background in privacy-enhancing technologies or sensitive data handling
• Experience building data pipelines for survey data and text analytics