Senior Analytics Engineer

The role

This role transforms raw data into high-quality datasets and visualisations. You will develop ELT pipelines, implement data modelling, and build visualisations in Looker.

What you will do

• Design, develop, and maintain efficient and scalable workflows using dbt
• Implement data modelling and software engineering techniques
• Write data quality checks, tests, and monitoring scripts
• Establish and maintain documentation for data transformations and models
• Work with Data Analysts and business users to understand reporting needs
• Collaborate with Data Engineers on data ingestion and platform optimisation
• Tune and optimise SQL queries and data models
• Champion the adoption of modern data stack tools and practices
• Build scalable, compelling data visualisations in Looker

Required qualifications

• Multiple years of experience in a data-focused role
• Expert-level proficiency in writing and optimising complex SQL queries
• Hands-on experience with dbt or similar data transformation frameworks
• Experience working with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift
• Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques
• Proficiency with Git
• Familiarity with reporting/ BI tools like Looker

Nice to have

• Python expertise for automation, integration, and orchestration
• Experience with Semantic layers
• Experience with orchestration tools like Airflow
• Knowledge of modern software engineering practices applied to data

Benefits

• Can help with relocation from anywhere in the world

Before you apply

• Must be based within commuting distance of London or Barcelona hub
• Submit resume in English
• Submit an updated portfolio and/or resume

About the company

Perk is an intelligent platform for travel and spend management. It is a global company with more than 1,800 people across 12 offices.