Senior Analytics Engineer

About the role

This role sits at the intersection of Data Engineering and Data Analytics, focusing on transforming raw data into high-quality, trustworthy, and easily consumable datasets and visualisations for business users. The successful candidate will design and maintain efficient ELT pipelines and data models to support analytical use cases across the organisation.

Responsibilities

• Design, develop, and maintain efficient and scalable workflows using dbt to transform raw data into clean data models.
• Implement best-practice data modelling and software engineering techniques to ensure data structures are optimised for performance and accuracy.
• Write comprehensive data quality checks, tests, and monitoring scripts to ensure the reliability of transformed data assets.
• Collaborate with Data Analysts and business users to understand reporting needs and optimise data models.
• Tune and optimise SQL queries to reduce latency and improve data warehouse performance.
• Build scalable, compelling data visualisations in Looker for large teams.

Required skills

• SQL
• dbt
• Data modelling
• ETL/ELT
• Data warehousing
• Snowflake
• Git
• Looker

Nice to have

• Python
• Semantic layers
• Airflow
• Software engineering practices

Qualifications

• Experience in a data-focused role such as Analytics Engineer, Data Analyst, or BI Developer

About the Company

Perk is the intelligent platform for travel and spend management, automating tasks from travel bookings to expenses and invoice processing. Founded in 2015, the company has grown into a global organisation with over 1,800 people across 12 offices worldwide.