Analytics Engineer

About Pleo

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved not just finance. At Pleo were 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 youd expect and living by that mantra has been the secret to our success over the last 10 years.

Now were at a pivotal moment in our journey; every move we make has a direct impact on our 40000 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 cant say weve got this whole thing figured out. And frankly thats half the fun! What we can say is that were 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.

Please note applications will be open until Tuesday 19th May 09.00 BST.
We will not review any application before this date to ensure all applicants are given a fair chance to be considered. Dont rush to apply and ensure you take the time to answer our questions carefully!

About the role

Were looking for an Analytics Engineer to join our Critical Data Products (CDP) team at Pleo. This team is pivotal in delivering and enhancing high-quality robust data solutions that underpin Pleos essential data-driven products and operations. You will focus on building and refining the data models semantic layers and data structures that are the backbone of business critical data pipelines.

This role is ideal for someone who loves translating complex requirements into clean and scalable models and who wants to work in a fast-paced product-led environment where data is core to decision-making.

Who youll be working with

Youll be reporting to the Manager of the CDP team which sits within the Product Hub in the Data department. The CDP team include members from Data Analytics Data Engineering and Analytics Engineering all working together to support a wide scope across KYC/Compliance FinCrime Credit Card/Banking Infrastructure Regulatory Reporting and product teams across Pleo. The team delivers critical data pipelines dashboards reporting strategic insights and data enablement guidance within this scope.

Our team values trust reliability business understanding alignment and proactivity. We build strong relationships with our stakeholders provide reliable data products stay on top of strategic priorities and proactively bring insights that drive impact.

What youll be doing

• Build and maintain business-critical data models in dbt that power credit payments and fraud/AML reporting and decision-making.

• Partner closely with stakeholders Data Engineers and Data Analysts to align on requirements ownership and success criteria.

• Contribute to our semantic layer (LookML) to enable consistent and scalable reporting as well as self-serve exploration.

• Own and improve data quality through testing documentation monitoring and proactive issue detection (including working with orchestration where needed e.g. Airflow/Astronomer).

• Contribute to shared analytics engineering ways of working: code reviews standards reusable patterns and reducing technical debt.

What you bring

• Solid experience working with dbt and modern cloud data warehouses like BigQuery.

• Strong SQL skills and experience building well-structured reusable models in a layered architecture.

• Ability to translate messy or ambiguous business logic into clean performant data transformations.

• Familiarity with Git-based workflows version control and basic CI/CD practices for analytics code.

• A strong sense of ownership and responsibility for your work pragmatic problem-solving and stakeholder management skills.

Why is this role a good fit for you

This role is for you if:

• You are comfortable working following high engineering and data platform standards (e.g. CI/CD code reviews PRs established data governance).

• You are excited to partner closely with non-technical business domain experts and to learn from senior colleagues from many data disciplines.

• You want to deepen your knowledge and expertise in the areas of payments credit and fraud/AML.

This role may not be for you if:

• You want to go deep in one domain for a long time. As an AE in the CDP team you will be supporting multiple domains and shared definitions which can mean a lot of context switching.

• You prefer lower-stakes analytics work. The CDP team works on business critical (credit payments fraud/AML) matters so reliability and operational discipline are a bigger part of the job.

• You find it difficult to proactively engage with colleagues outside of the Data world.

How youll develop in this role

In your first few months at Pleo you will:

• Dive deeper into at least one of our business-critical domains (Credit Payments Fraud/AML) and learn the reliability expectations around those pipelines and models.

• Grow your career in a supportive culture where youll gain cross-functional insights from our team including Data Engineers Data Analysts and Analytics Engineers as well as from business stakeholders.

• Expand your impact by enabling analysts and stakeholders to work more effectively with trusted well-documented data.

Were committed to helping you develop your career whether that means taking on bigger projects stepping into leadership or acquiring new skills in data and analytics.

The location

The role can be based in Denmark Portugal Spain or the UK. We can hire either remotely hybrid or in office but you need to be physically based in any of those countries.

Please note we are unable to offer visa sponsorship for this role in any of the listed locations you find in the job info so you will need to have a valid right to work.

Were happy to share more about our approach to pay and this range during your first call with us!

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 a minimum of 28 days of holiday your public holidays

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

• Option to purchase 5 additional days of holiday through a salary sacrifice

• 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 were supportive of families and help you feel that you dont have to compromise your family due to work

The Interview Process

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

2. A SQL coding exercise you complete via our secure coding platform

3. A Hiring Manager interview: A 60-minutes meeting with the team manager to deep dive into your technical experience domain knowledge and project experience.

4. A Team interview: a 60-minutes interview with the team where well deep dive into your analytical approach and business domain knowledge.

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

Last time we hired an Analytics Engineer we received a total of 268 applications but only 8 were selected for an intro call. Some of the key reasons why previous candidates didnt make it past the application screening stage include:

• We receive a lot of CVs and many of them are AI-generated. We love seeing people leverage AIits a big focus for us internally toobut without human intervention these CVs can sometimes become generic and fail to show a candidate in the best light. What were really looking for is the specific details of real impact that only younot AIknow 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 youve 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.

• Profile to role fit: there was misunderstanding about the type of experience we expect from an Analytics Engineer and we received many applications from candidates who had never been exposed to a product-led environment or had been exclusively focused on SQL/dbt work when were looking for both technical and stakeholders management as well as team collaboration experience. Weve taken great care in writing this role description to reflect the reality of the job as best as possible please ensure you read it carefully and highlight on your CV the experience relevant to what we are looking for.

About your application

• English first. Since its our company language please submit your application in English. Youll 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 systemour support team cant 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 dont 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 Well 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.

• 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 youre applying for the same role again please wait six months from your last decision before hitting submit.

Required Experience:

IC