Apply for Analytics Engineer at Perk in Barcelona, CT, ES. This Full time on site position offers great opportunities for career growth.

La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.

Perk (formerly TravelPerk) is an intelligent platform for travel and spend management that automates everything from travel bookings to expenses, invoice processing, and more. Built to tackle the time‑consuming, manual work that gets in the way of real work, our tools eliminate shadow work that wastes hours, erodes morale, and saps innovation. With more than 1,800 people across 12 offices worldwide, we’re on a mission to power real work with real impact.

Overview

- 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. xqbhyrx
- Knowledge of modern software engineering practices applied to data (e.g., modularity, code review, testing).

We’re an equal opportunity employer, which means you’re welcome at Perk regardless of how you look, where you’re from, or anything else that makes you, well, you.

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📌 Analytics Engineer at Perk (Barcelona)
🏢 Perk
📍 Barcelona