Senior Data Engineer - Analytics Platform
Valencia
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingOwn 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
From the employer’s posting
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
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
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
What you’ll bring
All qualificationsCore experience
- Hands-on expertise administering and scaling a modern BI tool
- 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
Preferred experience
- Sigma strongly preferred; experience with comparable tools such as Looker or Tableau also valued
- Hands-on experience operating services on GCP is a plus
Qualification wording
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
Tools in this posting
- Python
- SQL
- BigQuery
- dbt
- Looker
- Sigma
- Tableau
Source — Tool mentions in context
- 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
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
- 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
- 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
- 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
Benefits in the posting
Full benefits wording- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
From the employer’s posting.
About Ebury
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 15, 2026 · 31d ago
- Recorded sightings
- 62
- Last seen by us
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
#LI-JC1
#LI-HYBRID
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 @ebury.com 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.
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Valencia
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.
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#LI-JC1 #LI-HYBRID About us
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