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about 2 months ago
Requirements and responsibilities
About PleoMessy 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’ means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.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.About the roleWe’re 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 Pleo’s essential data-driven products and operations.You will focus on building and refining 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 in a fast-paced, product-led environment where data is core to decision-making.Who you’ll be working withYou’ll be reporting to the Manager of the CDP team, which sits within the Product Hub in the Data department. The CDP team includes members from Data Analytics, Data Engineering, and Analytics Engineering, working together across a wide scope including 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.What you’ll be doingBuild 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 the 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 bringSolid 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 youThis 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’re 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 in 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—this AE role supports 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 matters (credit, payments, fraud/AML), where 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 you’ll develop in this roleIn 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 with cross-functional insights from 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.We’re 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 locationThe 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, so you will need to have a valid right to work.Show me the benefitsYour 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 officeComprehensive private healthcare (depending on your location: Vitality, Alan or Médis)Minimum of 28 days of holiday + your public holidaysFor our Team: both hybrid and fully remote working optionsOption to purchase 5 additional days of holiday through a salary sacrificeAccess to free mental health and well-being support via MyndUpPaid parental leaveThe Interview ProcessIntro call: a 30-minutes chat with our Talent Partner to discuss the role and your background.A SQL coding exercise you complete via our secure coding platform.A Hiring Manager interview: a 60-minutes meeting with the team manager to deep dive into your technical experience, domain knowledge and project experience.A Team interview: a 60-minutes interview with the team to deep dive into your analytical approach and business domain knowledge.Transparency is important to us, and we also share insights about what we’re looking for in applications to help you succeed, including that every application is reviewed by a human and that you should provide specific details of real impact from your experience (not AI-generated outputs).About your applicationEnglish first. Since it’s our company language, please submit your application in English.A fair look for everyone. Our talent team reads every single application; we only accept applications through our system.Diversity drives us. We encourage people from all backgrounds and experiences to join us.Interview at your best. If you have accessibility requirements or need a specific format, email belonging@pleo.io.Your data is safe. When you apply, we process your personal data as a data processor.Applying for multiple roles? Nothing is stopping you; we assess every role independently, looking for alignment.Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.
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