# Senior Data Engineer (Commercial Analytics)

[Pleo](https://gurify.com/jobs?q=Pleo) · London · Posted yesterday

Senior

[Data](https://gurify.com/jobs/data)

[Apply on the original posting → (opens in a new tab)](https://jobs.ashbyhq.com/pleo/4e0be3a8-1b4c-4cfa-9b6b-45a44b809586)

## Job description

### ABOUT PLEO

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.

The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.

Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.

### ABOUT THE ROLE

Please note: applications will be open until Thursday 24th September 2026 09.00 CEST.
We will no review any applications before the closing date so everyone has equal chances to be selected. Use this time to submit a high quality application that will showcase your strengths.

We're looking for a Senior Data Engineer to join our Growth Intelligence team at Pleo. In this role, you'll design and maintain the integration architecture and data contracts that connect our commercial and GTM data layer (the pipelines linking our CRM, billing, and customer success tooling to a central BigQuery warehouse) and be part of the team as we scale our commercial data foundations to support RevOps, Customer Success, and the AI products built on top of them. If you're excited about untangling complex, multi-system architecture and are passionate about building data foundations the whole business can trust, then this is the opportunity for you!

### WHO YOU’LL BE WORKING WITH AND REPORTING TO

You’ll report to the Senior Manager of Growth Intelligence and work closely with the RevOps and the BAT (Business Architecture & Technology) teams to understand what commercial operations needs from data. Our team is highly collaborative and dedicated to keeping Pleo's commercial and GTM data trustworthy and well-governed. You’ll also partner with Analytics Engineers to ensure pipeline outputs are modelling-ready, and engage upstream with tool owners and engineering teams to push data quality and schema discipline closer to the source.

### WHAT YOU’LL BE DOING

### As a Senior Data Engineer, you will:

- Design, build, and maintain data pipelines between commercial tools (HubSpot, Zuora, Vitally) and our BigQuery data warehouse.

- Own reverse ETL flows: enrich or define data in the warehouse and push it back into operational tools like HubSpot, keeping definitions consistent across systems.

- Implement and maintain data contracts with clear ownership, SLAs, and schema agreements between data producers (tool owners, product engineers) and data consumers (analysts, RevOps, AI tooling).

- Partner with RevOps and the BAT team to understand operational data requirements and translate them into reliable, governed pipelines.

- Build monitoring and alerting that catches data quality issues before they surface in dashboards, operational reports, or downstream models.

- Simplify integration architecture by centralising data flows through the warehouse, reducing point-to-point tool integrations and the maintenance burden that comes with them.

- Work with Analytics Engineers to ensure pipeline outputs are structured and documented for downstream modelling.

- Engage upstream with tool owners and engineering teams to move data quality and schema discipline closer to the source.

Our commercial data stack connects subscription billing (Zuora), CRM (HubSpot), and customer success tooling (Vitally) to a central BigQuery data warehouse. You can expect to work with the following tech stack: BigQuery, Python, HubSpot, Zuora, and Vitally plus dbt, Fivetran/Census, or Airflow depending on your background.

### WHAT YOU BRING

### You’ll thrive in this role if you have:

- Proven experience building and maintaining production data pipelines in a commercial or GTM data environment.

- Strong understanding of CRM data models, APIs, and field management (HubSpot or comparable experience).

- Hands-on experience with reverse ETL patterns: pushing warehouse-enriched or warehouse-defined data back into operational tools.

- Extensive BigQuery experience.

- Experience implementing data contracts in a production environment.

- Python proficiency for pipeline development, transformation logic, and tooling.

- Git-based workflows and CI/CD experience for data engineering code.

### WHY IS THIS ROLE A GOOD FIT FOR YOU

### This role is a good fit for you if:

- You are equally excited by deep technical work as you are by collaborating with business stakeholders.

- You can comfortably work with a wide variety of data sources and can operate within a complex multi-system environment.

- You truly shine at solving problems and driving alignment between GTM/commercial stakeholders.

This role is not a good fit for you if:

- You prefer to work on platform matters that are one step removed from the business.

- You have never collaborated with senior stakeholders on GTM / commercial analytics work.

- You need a very defined roadmap and backlog to operate efficiently. You'll need to adapt to rapid changes and be part of the roadmap definition discussions in this role.

### HOW YOU’LL DEVELOP IN THIS ROLE

### In your first 6 months at Pleo, you’ll:

- Become familiar with our data ecosystem and codebase.

- Support to drive a HubSpot reimplementation project from the data side.

- Collaborate with Data Platform & Analytics Engineers as well as GTM teams to improve or commercial analytics efforts.

Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role in any of the listed locations.

### SHOW ME THE BENEFITS

- Your own Pleo card (no more out-of-pocket spending!)

- Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office

- Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis

- We offer 25 days of holiday + your public holidays

- For our Team, we offer both hybrid and fully remote working options

- We use MyndUp to give our employees access to free mental health and well-being support with great success so far

- 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

### THE INTERVIEW PROCESS

We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows:

1. Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background.

2. Core skills tests: An async coding exercise through our CoderPad third party platform.

3. Hiring Manager interview: A 60-minute chat with your Manager to deep dive into your technical experience and impact.

4. Pleo Challenge: A 75-minute live interview with two colleagues to assess your architecture and problem solving skills.

Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success!

Last time we hired a Senior Data Engineer, we received a total of 543 applications but only 15 were selected for an intro call. With this in mind, we want to help you understand what we really care about when reviewing your application:

- We receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it’s a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you—not AI—know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background.

- Every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process.

- This role requires experience operating within a SaaS organisation, collaborating closely with GTM teams. It is equally important to demonstrate your technical expertise with production pipelines as it is to demonstrate your understanding and impact across commercial analytics.

### ABOUT YOUR APPLICATION

- English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us.

- A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails.

- Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us.

- Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you.

- Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here https://www.pleo.io/en/legal.

- Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role.

- Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

**Live in Pleo’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

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If you\u0026#39;re excited about untangling complex, multi-system architecture and are passionate about building data foundations the whole business can trust, then this is the opportunity for you!\u003C/p\u003E\u003Ch3\u003EWHO YOU\u2019LL BE WORKING WITH AND REPORTING TO\u003C/h3\u003E\u003Cp\u003EYou\u2019ll report to the Senior Manager of Growth Intelligence and work closely with the RevOps and the BAT (Business Architecture \u0026amp; Technology) teams to understand what commercial operations needs from data. Our team is highly collaborative and dedicated to keeping Pleo\u0026#39;s commercial and GTM data trustworthy and well-governed. You\u2019ll also partner with Analytics Engineers to ensure pipeline outputs are modelling-ready, and engage upstream with tool owners and engineering teams to push data quality and schema discipline closer to the source.\u003C/p\u003E\u003Ch3\u003EWHAT YOU\u2019LL BE DOING\u003C/h3\u003E\u003Ch3\u003EAs a Senior Data Engineer, you will:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EDesign, build, and maintain data pipelines between commercial tools (HubSpot, Zuora, Vitally) and our BigQuery data warehouse.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EOwn reverse ETL flows: enrich or define data in the warehouse and push it back into operational tools like HubSpot, keeping definitions consistent across systems.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EImplement and maintain data contracts with clear ownership, SLAs, and schema agreements between data producers (tool owners, product engineers) and data consumers (analysts, RevOps, AI tooling).\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPartner with RevOps and the BAT team to understand operational data requirements and translate them into reliable, governed pipelines.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBuild monitoring and alerting that catches data quality issues before they surface in dashboards, operational reports, or downstream models.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESimplify integration architecture by centralising data flows through the warehouse, reducing point-to-point tool integrations and the maintenance burden that comes with them.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EWork with Analytics Engineers to ensure pipeline outputs are structured and documented for downstream modelling.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EEngage upstream with tool owners and engineering teams to move data quality and schema discipline closer to the source.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003EOur commercial data stack connects subscription billing (Zuora), CRM (HubSpot), and customer success tooling (Vitally) to a central BigQuery data warehouse. You can expect to work with the following tech stack: BigQuery, Python, HubSpot, Zuora, and Vitally plus dbt, Fivetran/Census, or Airflow depending on your background.\u003C/p\u003E\u003Ch3\u003EWHAT YOU BRING\u003C/h3\u003E\u003Ch3\u003EYou\u2019ll thrive in this role if you have:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EProven experience building and maintaining production data pipelines in a commercial or GTM data environment.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStrong understanding of CRM data models, APIs, and field management (HubSpot or comparable experience).\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EHands-on experience with reverse ETL patterns: pushing warehouse-enriched or warehouse-defined data back into operational tools.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExtensive BigQuery experience.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience implementing data contracts in a production environment.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPython proficiency for pipeline development, transformation logic, and tooling.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EGit-based workflows and CI/CD experience for data engineering code.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EWHY IS THIS ROLE A GOOD FIT FOR YOU\u003C/h3\u003E\u003Ch3\u003EThis role is a good fit for you if:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EYou are equally excited by deep technical work as you are by collaborating with business stakeholders.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EYou can comfortably work with a wide variety of data sources and can operate within a complex multi-system environment.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EYou truly shine at solving problems and driving alignment between GTM/commercial stakeholders.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003EThis role is not a good fit for you if:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EYou prefer to work on platform matters that are one step removed from the business.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EYou have never collaborated with senior stakeholders on GTM / commercial analytics work.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EYou need a very defined roadmap and backlog to operate efficiently. You\u0026#39;ll need to adapt to rapid changes and be part of the roadmap definition discussions in this role.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EHOW YOU\u2019LL DEVELOP IN THIS ROLE\u003C/h3\u003E\u003Ch3\u003EIn your first 6 months at Pleo, you\u2019ll:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EBecome familiar with our data ecosystem and codebase.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESupport to drive a HubSpot reimplementation project from the data side.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECollaborate with Data Platform \u0026amp; Analytics Engineers as well as GTM teams to improve or commercial analytics efforts.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003EPlease note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role in any of the listed locations.\u003C/p\u003E\u003Ch3\u003ESHOW ME THE BENEFITS\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EYour own Pleo card (no more out-of-pocket spending!)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ELunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EComprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or M\u0026#233;dis\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EWe offer 25 days of holiday \u002B your public holidays\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EFor our Team, we offer both hybrid and fully remote working options\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EWe use MyndUp to give our employees access to free mental health and well-being support with great success so far\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPaid parental leave - we want to make sure that we\u0026#39;re supportive of families and help you feel that you don\u0026#39;t have to compromise your family due to work\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ETHE INTERVIEW PROCESS\u003C/h3\u003E\u003Cp\u003EWe want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows:\u003C/p\u003E\u003Cp\u003E1. Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background.\u003C/p\u003E\u003Cp\u003E2. Core skills tests: An async coding exercise through our CoderPad third party platform.\u003C/p\u003E\u003Cp\u003E3. Hiring Manager interview: A 60-minute chat with your Manager to deep dive into your technical experience and impact.\u003C/p\u003E\u003Cp\u003E4. Pleo Challenge: A 75-minute live interview with two colleagues to assess your architecture and problem solving skills.\u003C/p\u003E\u003Cp\u003ETransparency is important to us so we also wanted to share some insights about what we\u2019re looking for in applications to ensure you can set yourself up for success!\u003C/p\u003E\u003Cp\u003ELast time we hired a Senior Data Engineer, we received a total of 543 applications but only 15 were selected for an intro call. With this in mind, we want to help you understand what we really care about when reviewing your application:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EWe receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI\u2014it\u2019s a big focus for us internally too\u2014but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we\u0026#39;re really looking for is the specific details of real impact that only you\u2014not AI\u2014know from your previous experience. A top tip from us is to use the \u201CAchieved X, as measured by Y, by doing Z\u201D formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you\u2019ve worked on. A final note: including links to your previous companies\u0026#39; websites is a huge help and allows us to truly understand your background.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EEvery single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates\u0026#39; efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EThis role requires experience operating within a SaaS organisation, collaborating closely with GTM teams. It is equally important to demonstrate your technical expertise with production pipelines as it is to demonstrate your understanding and impact across commercial analytics.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EABOUT YOUR APPLICATION\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EEnglish first. Since it\u0026#39;s our company language, please submit your application in English. You\u2019ll be using it a lot if you join us.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EA fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system\u2014our support team can\u2019t pass on calls or emails.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDiversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don\u0026#39;t tick every single box. 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