At a Glance
- Tasks: Transform raw data into high-quality datasets and visualisations for business users.
- Company: Join Perk, a global leader in travel and spend management.
- Benefits: Competitive salary, relocation support, and a vibrant team culture.
- Other info: Work in-person 3 days a week to boost creativity and collaboration.
- Why this job: Make a real impact by optimising data for thousands of companies worldwide.
- Qualifications: Experience in data roles, SQL mastery, and familiarity with cloud data platforms.
The predicted salary is between 63000 - 77000 £ per year.
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, we're on a mission to power real work, with real impact.
We're trusted by more than 12,000 companies worldwide, including On Running, Breitling, and Fabletics, and we're 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 1,800 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, we're 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, fintech, and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team.
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: Multiple 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 Barcelona hub. 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. 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.
Senior Analytics Engineer employer: Traveltechessentialist
At Perk, we pride ourselves on fostering a vibrant work culture that champions innovation and collaboration. With a strong emphasis on employee growth, we offer opportunities for professional development and the chance to work alongside a diverse team of experts in a dynamic environment. Our London hub not only provides a central location for in-person collaboration but also embodies our commitment to creating a workplace where every individual can thrive and make a meaningful impact.
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We think this is how you could land Senior Analytics Engineer
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We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
