Staff Data Engineer - Data Services
London, Lisbon, Madrid
Applications have closed
Pleo
The business expenses solution that empowers your people to do more. Join the thousands of companies that trust Pleo to make paying for stuff at work easierIntro
At Pleo, weâre on a mission to revolutionise the way businesses manage company spending. No more outdated processes, clunky spreadsheets, or frustrating delays â we believe spend management should be seamless, empowering, and surprisingly effective for finance teams and employees alike. Weâre creating tools that promote autonomy, foster trust, and let businesses focus on what truly matters.
Our culture is built on transparency, collaboration, and a deep commitment to innovation â which is reflected in our spending solution. At Pleo, youâll join a passionate team shaping the future of work, all while having some fun along the way.
About the role
We're looking for a Staff Data Engineer to join our Data Services team at Pleo. In this role, youâll help design and scale our data warehouse, enable trusted self-serve analytics, and shape how we structure and govern data across the company. Youâll be at the heart of building data products and core models that are maintainable, reusable, and built to last.
As a Staff-level engineer, youâll be expected to work across domains, lead technical design discussions, and help align teams around scalable solutions and shared logic. Youâll bring clarity to complex problems, drive long-term improvements in our data architecture, and mentor others in growing their craft.
If you're excited about shaping how data is modelled and used across a fast-growing, product-led company and passionate about raising the bar for clarity, reusability, and long-term quality in a warehouse environment â this might be the perfect next step for you.
What youâll be doing
As a Staff Data Engineer, you will:
- Design and lead implementation of scalable data pipelines and dbt models across key domains
- Own and evolve our data warehouse architecture, ensuring performance, clarity, and reusability
- Translate complex business logic into clean, tested, and trusted models used company-wide
- Partner with analytics engineers, analysts, and platform teams to raise the bar for data quality and modeling
- Help define the future of our semantic layer, testing strategy, and platform workflows
- Be a go-to technical leaderâbringing alignment and clarity to complex data challenges
What you bring
Youâll thrive in this role if you have:
- Deep experience with the modern data stack, especially dbt, BigQuery, and orchestration tools (e.g. Airflow, dbt Cloud)
- Proven ability to design end-to-end data architectureâfrom ingestion to warehouse modeling to semantic layersânot just implement someone elseâs plan
- A strong understanding of data modeling and platform trade-offs, and the ability to drive architectural decisions that balance short-term needs with long-term scalability
- A track record of working across domains to align stakeholders on shared definitions, model ownership, and reuse
- A proactive mindset when it comes to data quality, governance, and system designâyou raise the bar and help others do the same
- Excellent communication skills and the ability to operate as a technical partner to analytics, engineering, and product leaders
Who youâll be working with and reporting to
Youâll report to our Data Analytics Lead (Data Services) and work closely with our Data Infrastructure team, Analytics Engineers, and domain teams in Product, Finance, and GTM. Our team is collaborative and focused on long-term qualityâweâre working to raise the bar for how data is modelled and consumed across the company.
How youâll develop in this role
In your first few months at Pleo, youâll:
- Lead the consolidation and redesign of our core models across key domains
- Drive improvements to our testing framework and developer workflow for analytics engineers
- Partner with embedded teams to align on shared logic and reusable definitions
- Identify platform-level bottlenecks and propose scalable architecture improvements
Weâre committed to helping you develop your careerâwhether that means growing into broader technical leadership, defining strategy for our semantic layer, or mentoring the next wave of engineers joining the team.
Show me the benefits!
- Your own Pleo card (no more out-of-pocket spending!)
- Lunch is on us - with catering in our Lisbon, Copenhagen and London offices or a monthly lunch allowance paid directly together with your salary in other markets đ
- Private health insurance to ensure youâre fit in body and mind to do your best work
- We offer 25 days of holiday + your public holidays
- Flexibility/remote working options
- Option to purchase 5 additional days of holiday through a salary sacrifice
- Weâre trialling MyndUp to give our employees access to free mental health and wellbeing support with great success so far â€ïžâđ©č
- Access to LinkedIn Learning - acquire new skills, stay abreast of industry trends and fuel your personal and professional development continuouslyÂ
- Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work đ¶
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Why join us?
Working at Pleo means you're working on something very exciting: the future of work. Our mission is to help every company go beyond the books. Pleo itself means âmore than youâd expectâ, and itâs been the secret to our success over the last 8 years. So itâs only fitting that weâd pass this philosophy onto our customers to help them make the most of their finances.
We think company spending should be delegated to all employees and teams, that it should be as automated as possible, and that it should drive a culture of responsible spending. Finance teams shouldnât be siloed from the rest of the organisation â they should work in unity with marketing, sales, IT and everyone else.
Speaking of working in unity, our values tell the story of how we work at Pleo. We have four core values, the first of which is âchampion the customerâ, which means we address real pain points that businesses face. Next up is âsucceed as a teamâ, which highlights how our strength lies in our diversity and trust in each other. We also âmake it happenâ by taking bold decisions and following through to deliver results. Last but not least, we âbuild to scaleâ, creating lasting solutions that address todayâs challenges and anticipate tomorrowâs needs.
So, in a nutshell, that's Pleo. Today we are a 850+ team, from over 100 nations, sitting in our Copenhagen HQ, London, Stockholm, Berlin, Madrid, Montreal and Lisbon offices âand quite a few full-time remotes in 35 other countries! Being HQ'd out of Copenhagen means we're inspired by things like a good work-life balance. If you don't work in the office with us, we'll help you set up the best remote setup possible and make sure you still have time to connect with your team.
About your application
- Please submit your application in English; itâs our company language so youâll be speaking lots of it if you join đ
- We treat all candidates equally: If you are interested please apply through our application system - any correspondence should come from there! Our lovely support isn't able to pass on any calls/ emails our way - and this makes sure that the candidate experience is smooth and fair to everyone đ
- Weâre on a mission to make everyone feel valued at work. Thatâs only achievable if our team reflects the diversity of the world around us - and that starts with you, hitting apply, even if you are worried you might not tick all the boxes! We embrace and encourage people from all backgrounds to apply - regardless of race/ethnicity, colour, religion, nationality, gender, sex, sexual orientation, age, marital status, disability, neurodiversity, socio-economic status, culture or beliefs.
- When you submit an application we process your personal data as a data processor. Find out more about how your data is used in the FAQs section at the bottom of our jobs page.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Airflow Architecture BigQuery Data Analytics Data pipelines Data quality Data warehouse dbt Engineering Finance Pipelines Testing
Perks/benefits: Career development Health care Insurance Parental leave Transparency Wellness
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