Senior Data Engineer - Platform

Ebury

Madrid

Hybrid

EUR 70,000 - 100,000

Full time

14 hours ago
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Benefits offered by this job

Competitive compensation
Growth & certifications
Open source culture
Modern hybrid working

Job summary

Ebury invites a Senior Data Engineer to join the Data Platform team in Madrid. You will lead the design, build, and scale of a central data platform, enabling data-driven decisions across the company in a hybrid Madrid setup.

Bring deep Python/SQL, data modeling expertise, and strong GCP experience to drive innovation, governance, and collaboration with data science, analytics, and BI teams.

Qualifications

  • Proven experience designing, building, and operating production data platforms at scale.
  • Advanced proficiency in Python and SQL for data transformation and querying.
  • Deep expertise in data modeling for structured and unstructured data; graph modeling a plus.

Responsibilities

  • Architect and maintain a central, high-performance Data Platform used across Ebury.
  • Explore and integrate emerging technologies and open-source frameworks.
  • Collaborate with Data Scientists, Analytics Engineers, and BI leads to deliver platform solutions.
  • Establish data governance, quality standards, and access policies for security and reliability.

Skills

Python
SQL
Graph data modeling
GCP
Containerization
Data platforms
English fluency

Tools

BigQuery
Airflow
dbt
Docker
CI/CD
Git

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

Location: Madrid, Spain (Hybrid: 4 days in office / 1 day remote)

At Ebury, our ambitious strategic growth plan is powered by data. We are seeking a Senior Data Engineer to join our Data Platform team in Madrid.

Our mission is to build, maintain, and continuously evolve Ebury's Data Platform—focusing on scalable, robust, and innovative core frameworks that empower data teams and business units across the entire company.

What You Will Do
  • Architect & Scale: Oversee the end-to-end design, development, and maintenance of a central, high-performance Data Platform used across Ebury.
  • Drive Innovation: Explore and integrate emerging technologies and open-source frameworks to expand our data capabilities.
  • Collaborate & Empower: Partner with internal stakeholders (Data Scientists, Analytics Engineers, BI leads) to deeply understand platform requirements and deliver actionable solutions.
  • Govern & Secure: Establish and enforce data governance, quality standards, and access policies to ensure platform security and reliability.
Our Tech Stack
  • Cloud Infrastructure: Google Cloud Platform (GCP) — BigQuery, Cloud Run, Cloud Functions, GKE
  • Orchestration & Modeling: Apache Airflow, dbt, Dimensional & Graph Data Modeling
  • Engineering Tools: Python, SQL, Docker, CI/CD, Git, Open Source Tooling
What We Are Looking For
  • Proven experience designing, building, and operating production data platforms, data lakes, and cloud data warehouses at scale.
  • Advanced proficiency in Python (for data transformation, validation, and tooling) and SQL (for large-scale query optimization).
  • Deep expertise in traditional modeling for both structured and unstructured data. (Graph database modeling is a strong plus!)
  • Hands-on experience with GCP or equivalent cloud ecosystems (BigQuery, serverless compute, containerization).
  • Self-motivated, highly curious, and proactive about staying on the bleeding edge of data architecture and open-source practices.
  • Professional fluency in English. (Spanish is a plus!)
What We Offer
  • Competitive Compensation: Attractive base salary plus performance-based discretionary bonus.
  • Growth & Certifications: Dedicated budget and time for continuous training, certifications, and personal development.
  • Open Source Culture: We follow open-source principles internally and actively encourage contributions to external projects.
  • Modern Hybrid Working: Great office dynamic in Madrid with the flexibility of working from home.
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.

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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