ebury anz
ebury anz1d ago
New

Data Engineer

Madridmid
Data EngineerData
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Quick Summary

Key Responsibilities

Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).

Technical Tools
Data EngineerData

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.

At Ebury, we don’t just move money; we move the boundaries of what Fintech can achieve. Our strategic growth is powered by Data, and we are looking for a Data Engineer who wants to be at the heart of this transformation.

We aren't looking for "Jira ticket closers." We want problem solvers, tech enthusiasts, and proactive engineers who want to understand the why and for what behind the data and propose high-value projects that move the needle for the business.

We are at an inflection point. Beyond maintaining a robust platform, we have a massive appetite for Machine Learning, LLMs, and Agents. Your mission won't just be moving bytes; it will be building the infrastructure that enables Ebury to lead the Gen-AI revolution in the financial sector.

  • Orchestration: Airflow (Cloud Composer) is our backbone.
  • Cloud Power: The full GCP suite (GKE, Cloud Run, Functions, Artifact Registry).
  • Smart Ingestion: We leverage DLT (Data Load Tool) to build seamless and scalable data pipelines.
  • Modeling & Quality: We use dbt at scale, integrating DuckDB to enforce bulletproof Data Contracts.
  • DevOps Culture: Dockerized environments and solid CI/CD are our standard in Github Actions.

Responsibilities

~1 min read
  • Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).
  • Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents.
  • Business Partnership: Work closely with stakeholders to identify high-impact opportunities. If you see a better way to do things, you have the autonomy to lead it.
  • Engineering Excellence: Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure our platform is a benchmark for scalability.
  • Growth & Mentorship: Benefit from a personalized 30/60/90 day plan designed to help you thrive from day one.
  • Python & SQL Mastery: You have a deep command of both (+5 years of experience).
  • Agile Problem Solver: You thrive on unexpected daily challenges, delivering smart technical solutions at speed and iterating them into robust, production-grade systems. 🚀
  • Business Partner: You are proactive and "business-curious", you want to understand the impact of your code on the bottom line.
  • You are fluent in English (we are a global team!).

Nice to Have

~1 min read
  • Hands-on experience with LLMs, Vector Databases, or AI Agents
  • Deep knowledge of DuckDB or DLT.
  • Strong foundations in Dimensional Modeling and Data Warehousing.
  • Spanish language skills (a plus for office life in Madrid!).

What We Offer

~1 min read
Competitive Salary + Performance-based discretionary bonus.
Vibrant Culture: Join a collaborative environment where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one.
Work-Life Balance: A modern hybrid model in our Madrid office to keep the team spirit alive while respecting your focus time.
Open Source DNA: We follow Open Source principles internally and encourage you to contribute to external projects.
Continuous Learning: Personal development through certifications and specialized training.

About the Role

~1 min read

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 1,800+ 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.

Location & Eligibility

Where is the job
Madrid
On-site at the office
Who can apply
Same as job location

Listing Details

Posted
May 4, 2026
First seen
May 5, 2026
Last seen
May 5, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
60%
Scored at
May 6, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
ebury anz
ebury anz
greenhouse
Employees
750
Founded
2009
View company profile
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ebury anzData Engineer