Back to jobs

Senior Data Engineer

Madrid

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Ebury

What you’ll work on

Full posting
  • Build & Orchestrate: Design, deploy, and maintain robust ELT/ETL data pipelines from diverse sources (transactional databases, REST APIs, and file-based endpoints).

  • Drive Engineering Excellence: Apply software engineering best practices (version control, CI/CD, testing, code reviews) while actively reducing technical debt.

From the employer’s posting
What You Will Do Build & Orchestrate: Design, deploy, and maintain robust ELT/ETL data pipelines from diverse sources (transactional databases, REST APIs, and file-based endpoints). Model & Warehouse: Collaborate on scalable data models to supply clean, structured data for BI tools and department-specific decision-making.
Modernize & Optimize: Manage orchestration using Apache Airflow (GCP Cloud Composer) and leverage GCP native services (Cloud Run, GKE, Cloud Functions, Artifact Registry). Drive Engineering Excellence: Apply software engineering best practices (version control, CI/CD, testing, code reviews) while actively reducing technical debt. Automate & Empower: Automate end-to-end data workflows to eliminate manual extracts, freeing teams across Ebury to focus on high-value analysis.

What you’ll bring

All qualifications

Core experience

  • 3+ years in data engineering, with a track record of building, maintaining, and optimizing pipelines in big data environments.
  • Hands-on experience with key tools in our stack (dbt, GCP, Airflow, Looker).
  • Strong proficiency in Python and SQL.
  • Solid understanding of SDLC, testing, documentation (RFCs), and continuous deployment in a data environment.
Qualification wording
3+ years in data engineering, with a track record of building, maintaining, and optimizing pipelines in big data environments.
Hands-on experience with key tools in our stack (dbt, GCP, Airflow, Looker).
Strong proficiency in Python and SQL.
Solid understanding of SDLC, testing, documentation (RFCs), and continuous deployment in a data environment.

Tools in this posting

  • Python
  • dbt
  • Docker
  • Google Cloud (GCP)
  • Looker
  • Airflow
  • SQL
Source — Tool mentions in context
- 3+ years in data engineering, with a track record of building, maintaining, and optimizing pipelines in big data environments. - Strong proficiency in Python and SQL. - Solid understanding of SDLC, testing, documentation (RFCs), and continuous deployment in a data environment.
- Cloud Infrastructure: Google Cloud Platform (GCP) - Orchestration & Transformation: Apache Airflow, dbt & dbt Cloud - CI/CD & Containers: Docker, Cloud Build
Nice-to-Haves - Hands-on experience with key tools in our stack (dbt, GCP, Airflow, Looker). - Strong grounding in dimensional modeling and data warehousing concepts.
- Orchestration & Transformation: Apache Airflow, dbt & dbt Cloud - CI/CD & Containers: Docker, Cloud Build - Business Intelligence: Looker & Looker Studio
- Model & Warehouse: Collaborate on scalable data models to supply clean, structured data for BI tools and department-specific decision-making. - Modernize & Optimize: Manage orchestration using Apache Airflow (GCP Cloud Composer) and leverage GCP native services (Cloud Run, GKE, Cloud Functions, Artifact Registry). - Drive Engineering Excellence: Apply software engineering best practices (version control, CI/CD, testing, code reviews) while actively reducing technical debt.
Our Stack - Cloud Infrastructure: Google Cloud Platform (GCP) - Orchestration & Transformation: Apache Airflow, dbt & dbt Cloud
- CI/CD & Containers: Docker, Cloud Build - Business Intelligence: Looker & Looker Studio - Tooling & Management: GitHub, Jira

Benefits in the posting

Full benefits wording
  • Tailored Onboarding: A personalized 30/60/90-day plan with 1:1 mentorship from an experienced team member to set you up for success.

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
Oct 14, 2026 · 2d ago
Recorded sightings
5
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

View original posting ↗

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

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

At Ebury, our ambitious strategic growth plan is powered by data. We are looking for a Senior Data Engineer to join our collaborative Data Engineering team and help build the foundation for data-driven decisions across the entire business.

Our Data team—comprising Data Scientists, Data Engineers, Analytics Engineers, and Data Analysts—is on a mission to build, scale, and maintain a world-class Data Platform.

What You Will Do

  • Build & Orchestrate: Design, deploy, and maintain robust ELT/ETL data pipelines from diverse sources (transactional databases, REST APIs, and file-based endpoints).
  • Model & Warehouse: Collaborate on scalable data models to supply clean, structured data for BI tools and department-specific decision-making.
  • Modernize & Optimize: Manage orchestration using Apache Airflow (GCP Cloud Composer) and leverage GCP native services (Cloud Run, GKE, Cloud Functions, Artifact Registry).
  • Drive Engineering Excellence: Apply software engineering best practices (version control, CI/CD, testing, code reviews) while actively reducing technical debt.
  • Automate & Empower: Automate end-to-end data workflows to eliminate manual extracts, freeing teams across Ebury to focus on high-value analysis.
  • Govern & Refine: Help implement data quality standards, access controls, and data governance policies across the platform.

Our Stack

  • Cloud Infrastructure: Google Cloud Platform (GCP)
  • Orchestration & Transformation: Apache Airflow, dbt & dbt Cloud
  • CI/CD & Containers: Docker, Cloud Build
  • Business Intelligence: Looker & Looker Studio
  • Tooling & Management: GitHub, Jira
  • Data Integration & Observability: Hevo Data, Synq / DataHub

What We Are Looking For

  • 3+ years in data engineering, with a track record of building, maintaining, and optimizing pipelines in big data environments.
  • Strong proficiency in Python and SQL.
  • Solid understanding of SDLC, testing, documentation (RFCs), and continuous deployment in a data environment.
  • A strong curiosity to stay up to date with modern data industry standards, technologies, and best practices.
  • Professional fluency in English.

Nice-to-Haves 

  • Hands-on experience with key tools in our stack (dbt, GCP, Airflow, Looker).
  • Strong grounding in dimensional modeling and data warehousing concepts.

What We Offer 

  • Tailored Onboarding: A personalized 30/60/90-day plan with 1:1 mentorship from an experienced team member to set you up for success.
  • High-Impact Work: Direct influence over platform architecture, data governance, and core business decisions.
  • Collaborative Culture: A supportive environment where data modeling reviews, knowledge sharing, and best practices are actively encouraged.

#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. 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Madrid

Senior Data Engineer Madrid Office - Hybrid: 4 days in the office, 1 day working from home At Ebury, our ambitious strategic growth plan is powered by data. We are looking for a Senior Data Engineer to join our collaborative Data Engineering team and help build the foundation for data-driven decisions across the entire business.
More source context
- Collaborative Culture: A supportive environment where data modeling reviews, knowledge sharing, and best practices are actively encouraged. #LI-JC1 #LI-HYBRID About us
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.