Analytics Engineer (mid-level)

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 We’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 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. Please note applications will be open until Wednesday 29th April 09.00 BST. We will not review any application before this date to ensure all applicants are given a fair chance to be considered. Don't rush to apply and ensure you take the time to answer our questions carefully! Who you’ll be working with You'll 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 you’ll 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 colleag