Analytics Engineer

About Us

Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming manual work that gets in the way of real work our tools automate everything from travel bookings to expenses invoice processing and more. By eliminating this shadow work that wastes hours erodes morale and saps innovation were on a mission to power real work with real impact.

Were trusted by more than 10000 companies worldwide including Wise On Running Breitling and Fabletics and were tackling the 7 hours of lost productivity per employee each week a $1.7 trillion problem.

Founded in 2015 Perk has grown into a global company of more than 1800 people across 12 offices globally with headquarters in London and Boston. We combine innovation control and simplicity to transform how businesses work and how people feel at work.

At Perk were driven by our values like being an owner delivering a 7-star experience and working as one team. We value curiosity purpose and mindset not just knowledge to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries representing over 70 countries. If youre excited about having a real impact and shaping how millions of people experience work wed love you on the team.

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Overview

This critical 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 ideal candidate will possess a strong background in SQL dbt data modelling ETL/ELT principles and experience with modern cloud data platforms.

Core Responsibilities

Develop and Maintain Transformation best practices in ELT Pipelines: Design develop and maintain efficient and scalable workflows using tools like dbt to transform raw data loaded into our data warehouse (Snowflake) into clean ready-to-use data models.

Data Modelling: Implement best-practice data modelling and software engineering techniques to ensure data structures are optimised for performance accuracy and ease of use in reporting and analytical applications (e.g. CI/CD testing lineage).

Data Quality and Testing: Write comprehensive data quality checks tests and monitoring scripts to ensure the accuracy completeness and reliability of all transformed data assets. Establish and maintain documentation for all data transformations and models.

Collaboration: Work closely with Data Analysts and business users to understand their reporting needs and optimise data models to support their analytical use cases. Collaborate with Data Engineers on data ingestion strategies and platform optimisation.

Performance Optimisation: Tune and optimise SQL queries and data models to reduce latency and improve the performance of our data warehouse and downstream applications.

Tool Adoption: Champion the adoption of modern data stack tools and practices (e.g. Git CI/CD).

Build scalable compelling data visualisations in Looker that can be used by large teams.

Required Qualifications

• Experience: 3 years of experience in a data-focused role (e.g. Analytics Engineer Data Analyst BI Developer).

• SQL Mastery: Expert-level proficiency in writing and optimising complex SQL queries.

• Data Transformation Tooling: Hands-on experience with dbt (Data Build Tool) or similar data transformation frameworks is essential.

• Data Warehousing: Experience working with cloud-based data warehouses such as Snowflake Google BigQuery or Amazon Redshift.

• Data modelling: Solid understanding of data warehousing concepts ETL/ELT principles and dimensional modelling techniques.

• Version Control: Proficiency with Git for collaborative development and version control.

• Familiarity with reporting/ BI tools like Looker.

Preferred Qualifications

• 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 (e.g. modularity code review testing).

Our Vision is for a world where TravelPerk serves as the platform for human connection in-real-life (IRL). We take an IRL-first approach to work where our team works together in-person 3 days a week. As such this role requires you to be based within commuting distance of our London or Barcelonahub. We fundamentally believe in the value of meeting in-real-life to improve connectivity productivity creativity and ultimately making us a great place to work.

For certain roles we can help with relocation from anywhere in the world English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume.

TravelPerk is a global company with a diverse customer baseand we want to make sure the people behind our product reflect that. Were an equal opportunity employer which means youre welcome at TravelPerk regardless of how you look where youre from or anything else that makes you well you.

How We Work

At Perk we take an IRL-first approach to work where our team works together in-person 3 days a week. As such this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity productivity creativity and ultimately making us a great place to work.

For certain roles we can help with relocation from anywhere in the world English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume.

Perk is a global company with a diverse customer base and we want to make sure the people behind our product reflect that. Were an equal opportunity employer which means youre welcome at Perk regardless of how you look where youre from or anything else that makes you well you.

Protect Yourself from Recruitment Scams

All official communication from Perk will always come from email addresses ending in @ or @ our verified social media channels or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment training or fees request sensitive personal information such as bank details early in the process or communicate through unofficial apps like WhatsApp Telegram or Signal. If you receive a message claiming to be from Perk that seems suspicious please do not respond. Forward it to and we will confirm whether it is legitimate.

Required Experience:

IC