Senior Analytics Platform Engineer

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.

If 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.

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 Big Query as the core modelling and warehousing tools, and help evolve how analysts work — bringing software engineering practices into the analytics workflow.

Responsibilities

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 Big Query : development standards, testing, code review, CI/CD, and release processes

Build the frameworks and guardrails that enable self-service analytics — ensuring dashboards and datasets are discoverable, documented, governed, and trustworthy

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 Big Query

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

About you

Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills

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 Big Query — project structuring, testing strategies, performance and cost optimisation

Strong SQL proficiency and solid Python skills for tooling and automation

Experience establishing SDLC practices for analytics teams: 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

Strong communication and enablement skills — you enjoy teaching,



documenting, and raising the bar for how analysts work

Hands-on experience operating services on GCP is a plus

Fluency in English (Spanish, a plus)

What we offer

Competitive salary and benefits package

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

If 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.

About us

Ebury 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.

Since 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.

At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global 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.

The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.

We 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.

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