Level

Ebury

Senior Data Engineer - Platform

Ebury is hiring a Senior Data Engineer - Platform in Madrid, Spain. Level rates it ; you can apply on Level.

AI in this role

Design, scale, and maintain Ebury's central data platform using GCP, Python, SQL, and modern data engineering tools.

pythonsqlgcpbigqueryapache-airflowdbtdockergit
data-engineeringdata-modelingcloud-architectureci-cd

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!)

Don't check every box? Apply anyway!

If you’re excited about this role but your experience doesn't align 100% with every bullet point, we still strongly encourage you to submit your application. You may be the exact candidate we need for this or future positions.

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.

 

#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. 

How we rate this

Senior Data Engineer - Platform at Ebury rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringData ModelingCloud ArchitectureCi CdPythonSQLGoogle CloudBigquery

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where data modeling was part of your work. What did you do?
  3. Tell me about a project where cloud architecture was part of your work. What did you do?
  4. Tell me about a project where ci cd was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Data Modeling, Cloud Architecture, Ci Cd, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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