Madrid Ebury helps ambitious businesses unlock general 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.
Madrid
Office - Hybrid: 4 days in the office, 1 day working from home Join Our Data Team at Ebury Madrid or Malaga Office. Ebury's strategic growth plan would not be possible without our Data team and we are seeking a Senior Analytics Platform Engineer to join our Data Platform Engineering team! Our mission is to develop, maintain and improve Ebury's Data Platform — this role owns the Analytics Platform: 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 Sigma, together with dbt and BigQuery as the core modelling and warehousing tools, and help evolve how analysts work — bringing software engineering practices into the analytics workflow. Own and evolve Ebury's analytics platform end-to-end, with Sigma as the core BI and visualization tool — administration, governance, versioning, and best practices Define and manage the SDLC for analyst workflows across dbt and BigQuery: development standards, testing, code review, CI/CD, and release processes Champion metrics consistency across the organisation, ensuring business definitions are aligned between the warehouse, semantic models, and BI layer Support and upskill the Data Analyst community,
helping them adopt analytics-engineering practices (version control, testing, modular modelling) as their ways of working evolve Provide observability for analyst-facing data products: usage analytics, freshness, data quality signals, and cost/performance optimisation of BI workloads on BigQuery Collaborate 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 Drive continuous improvement by evaluating emerging BI and analytics tooling, patterns, and best practices in the modern data stack Platform engineering experience building internal platforms consumed by other teams — ideally analytics or BI platforms Hands-on expertise administering and scaling a modern BI tool (Sigma strongly preferred;
experience with comparable tools such as Looker or Tableau also valued) Deep experience with dbt and BigQuery — project structuring, testing strategies, performance and cost optimisation Strong SQL proficiency and solid Python skills for tooling and automation Git workflows, CI/CD, testing, and documentation standards Solid understanding of data governance concepts — lineage, access controls, cataloging — as they apply to the BI layer Fluency in English (Spanish, a plus) Discretionary bonus based on performance Continued personal development through training and certification We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects
📌 Senior Data Engineer & BI (Madrid)
🏢 Ebury
📍 Madrid