Senior Data Engineer - Analytics Platform at Ebury – Valencia | Jobyssey

Ebury 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.

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.

Senior Data Engineer - Platform

Madrid Office - Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Valencia office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking a Senior Data 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.

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 BigQuery: 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 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

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 BigQuery — 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.

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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.

Important Security Notice for Job Applicants:
Ebury only accepts applications via official Ebury channels. We will only contact you from an @ domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.

Notice to Recruitment Agencies and Search Firms:
Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.

AI Transparency Statement:
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.

Senior Data Engineer - Analytics Platform

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