ph3bSenior Analytics Platform Engineer /b /h3 pEbury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. /p pIf you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. /p h3bMadrid Office - Hybrid: 4 days in the office, 1 day working from home /b /h3 h3bJoin Our Data Team at Ebury Madrid or Malaga Office. /b /h3 pEbury's strategic growth plan would not be possible without our Data team and we are seeking a bSenior Analytics Platform Engineer /b to join our bData Platform Engineering team /b! Our mission is to develop, maintain and improve Ebury's Data Platform — this role owns the bAnalytics Platform /b: the tools, frameworks, and standards that empower our Data Analysts to deliver trusted insights at scale. You will manage the full lifecycle of our BI and visualization stack, built on bSigma /b, together with bdbt /b and bBigQuery /b as the core modelling and warehousing tools, and help evolve how analysts work — bringing software engineering practices into the analytics workflow. /p h3bResponsibilities /b /h3 ul liOwn and evolve Ebury's analytics platform end-to-end, with bSigma /b as the core BI and visualization tool — administration, governance, versioning, and best practices /li liDefine and manage the SDLC for analyst workflows across bdbt /b and bBigQuery /b: development standards, testing, code review, CI/CD, and release processes /li liBuild the frameworks and guardrails that enable bself-service analytics /b — ensuring dashboards and datasets are discoverable, documented, governed, and trustworthy /li liChampion metrics consistency across the organisation, ensuring business definitions are aligned between the warehouse, semantic models,



and BI layer /li liSupport and upskill the Data Analyst community, helping them adopt analytics-engineering practices (version control, testing, modular modelling) as their ways of working evolve /li liProvide observability for analyst-facing data products: usage analytics, freshness, data quality signals, and cost/performance optimisation of BI workloads on BigQuery /li liCollaborate closely with the rest of the Data Platform team — scheduler infra, semantic layer, and AI platform — to deliver a coherent platform experience for all data domains /li liDrive continuous improvement by evaluating emerging BI and analytics tooling, patterns, and best practices in the modern data stack /li /ul h3bAbout you /b /h3 ul liSelf-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills /li liPlatform engineering experience building internal platforms consumed by other teams — ideally analytics or BI platforms /li liHands-on expertise administering and scaling a modern BI tool (bSigma /b strongly preferred; experience with comparable tools such as Looker or Tableau also valued) /li liDeep experience with bdbt /b and bBigQuery /b — project structuring, testing strategies, performance and cost optimisation /li liStrong SQL proficiency and solid Python skills for tooling and automation /li liExperience establishing SDLC practices for analytics teams: Git workflows, CI/CD, testing, and documentation standards /li liSolid understanding of data governance concepts — lineage, access controls, cataloging — as they apply to the BI layer /li liStrong communication and enablement skills — you enjoy teaching,



documenting, and raising the bar for how analysts work /li liHands-on experience operating services on GCP is a plus /li liFluency in English (Spanish, a plus) /li /ul h3bWhat we offer /b /h3 ul liCompetitive salary and benefits package /li liDiscretionary bonus based on performance /li liContinued personal development through training and certification /li liWe are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects /li /ul pIf you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. /p h3bAbout us /b /h3 pEbury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. /p pSince its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team. /p pAt the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage integral cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. /p pThe opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. /p pWe believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story. /p /p #J-18808-Ljbffr

📌 Senior Analytics Platform Engineer (Madrid)
🏢 ebury anz
📍 Madrid