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 10,000 companies worldwide, including Wise, 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 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.
Visit www.perk.com to learn more.
The Opportunity
The Lead Analytics Engineering is a team leadership role designed to transform our data capabilities into a value-driving product engine. You will act as a "multiplier" - shielding your team from operational friction, fostering a culture of ownership, and ensuring that our data products are scalable, cost-efficient, and strategically aligned with business goals.
As one of two Leads, you will co-own our Analytics Engineering standards, ensuring a unified and streamlined AE experience across the entire department that allows our AEs to become a high performing team that delivers what the business needs to make better decisions.
Responsibilities
1. Strategic Leadership & Enablement
Move the team to a "product-thinking" approach. Ensure every model has a clear owner (individual or squad), defined SLAs, and documented business value.
Proactively identify and remove systemic bottlenecks in the development lifecycle to keep the team in a flow state.
Own our Looker visualisation environment and deliver the dashboard solutions that drive scalable decision making.
Review and create a framework/ user journey/ process that makes it easy for users to find the information they need quickly - including combining with other data information sources
Design, develop, and maintain an efficient and scalable workflow environment using tools like dbt to transform raw data into clean, ready-to-use data models.
Partner with your peer AE Lead to maintain a single, unified Analytics Engineering standard. Ensure that an AE can move between teams seamlessly with consistent tooling, logic, and expectations.
2. Engineering Excellence & Governance
In collaboration with Data Engineering, co-author and enforce high-bar AE standards, including modularity, code principles and comprehensive testing that deliver high Data Quality.
Take ownership of the commercial impact of our code. Monitor Snowflake/ Looker resource consumption and mentor the team on writing cost-efficient, performant SQL.
Work with the Data Product Partner team to Implement Business and Technical ownership expectations and robust monitoring to move the team from reactive to proactive reliability.
3. People, Culture & Talent
Lead our AE hiring to attract and retain top-tier AE talent, focusing on both technical mastery and commercial curiosity. Create/ update the job descriptions for the roles in your team.
Develop and execute career growth frameworks. Conduct high-frequency open and honest feedback sessions and facilitate technical Guilds for continuous peer learning.
You are expected to perform code reviews and step in to tackle complex challenges alongside your team as well as providing IC support where necessary.
4. Planning & Value Attribution
Ensure that the team focuses on how to build things right, partnering closely with the Data Product Partner team, whose role focuses on defining what the right things to build are. Provide technical expertise to determine the effort involved and overall feasibility of proposed initiatives
Translate business objectives into technical milestones. Focus on projects that move the company’s North Star metrics.
Act as a technical consultant to business leaders and the Data Product Partner team on projects
Required Qualifications
Experience: 4+ years of experience in a hands-on Analytics Engineer role or equivalent, including 1+ years as a team leader.
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).
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. 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.
Protect Yourself from Recruitment Scams
All official communication from Perk will always come from email addresses ending in @perk.com or @externalperk.com, 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,
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