Data Engineer

Posted 6 Days Ago
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Madrid, Comunidad de Madrid, ESP
In-Office
Senior level
Fintech • Payments • Software
The Role
As a Data Engineer at Ebury, you will design and implement ELT/ETL pipelines, support AI/ML infrastructure, and collaborate with stakeholders to enhance business impact.
Summary Generated by Built In

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.

Data Engineer: Drive our AI Revolution & Data Ecosystem

Location: Madrid (Hybrid: 4 days office / 1 day WFH)

Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker.

Why Ebury?

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.

The Challenge: Beyond Pipelines to AI-Ready Systems 

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.

Your Cutting-Edge Toolkit:

  • 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.

What You'll Do

  • 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.

About You

You’ll be a great fit if:

  • 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!).

Bonus Points:

  • 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

  • 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.

Excited about the role but don't tick every single box? Apply anyway! At Ebury, we value potential, proactivity, and a growth mindset over a perfect checklist. 

#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 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.

Skills Required

  • 5+ years of experience in Python and SQL
  • Experience with Airflow and GCP
  • Understanding of DLT and Docker
  • Experience with ML infrastructure or LLMs
  • Fluency in English
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The Company
HQ: London
1,519 Employees
Year Founded: 2009

What We Do

About Ebury® Ebury is a Fintech company specialised in international payments, collections, and foreign exchange services. It offers financial solutions aimed mainly at SMEs and midcaps. Ebury offers foreign exchange activity in over 130 currencies - for both major and emerging markets - as well as cash management strategies, trade finance, and foreign exchange risk management. Founded in London in 2009 by Spanish engineers Juan Lobato and Salvador García, the company has grown its global market presence to a network of 31 offices in 21 countries and more than 1,300 employees. Throughout its history, the company has received more than 20 international awards, including the Financial Times 1000 Europe's fastest-growing companies 2020 and The Sunday Times Tech Track 100. All these recognitions place Ebury as one of the leading European financial technology companies. ebury.com

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