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Perk (formerly TravelPerk) is an intelligent platform for travel and spend management, trusted by over 12,000 companies worldwide including On Running, Breitling, and Fabletics. The company automates travel bookings, expenses, invoice processing, and related workflows to eliminate shadow work and boost productivity. Founded in 2015, Perk operates globally with 1,800+ employees across 12 offices, headquartered in London and Boston.
This Senior Analytics Engineer role sits at the intersection of data engineering and analytics, focusing on transforming raw data into high-quality, trustworthy datasets and visualizations for business users. You will design, develop, and maintain efficient ELT pipelines using dbt and Snowflake, implementing best-practice data modeling and software engineering techniques (CI/CD, testing, lineage). Key responsibilities include writing comprehensive data quality checks and monitoring scripts, collaborating with Data Analysts and business users to optimize data models for reporting needs, tuning SQL queries and data models for performance, and building scalable visualizations in Looker.
Required qualifications: multiple years in a data-focused role (Analytics Engineer, Data Analyst, BI Developer); expert-level SQL proficiency; hands-on dbt experience; cloud data warehouse experience (Snowflake, BigQuery, or Redshift); solid understanding of data warehousing, ETL/ELT, and dimensional modeling; Git proficiency; and familiarity with Looker or similar BI tools. Preferred: Python expertise, semantic layer experience, orchestration tools like Airflow, and modern software engineering practices applied to data.
The role requires in-person presence 3 days per week at the London or Barcelona hub. Relocation support is available for candidates from anywhere in the world. English is the official office language.
