Ebury
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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 Analyst - Regulatory
Location: Brazil - São Paulo (Hybrid: 4 days office / 1 day WFH)
Ebury’s strategic growth plan would not be possible without our Data Analytics & Reporting team and we are seeking a Regulatory Data Analyst to join us!
Our data mission is to develop and maintain Ebury’s Data Platform and serve it to the whole company. This platform is the backbone of Ebury: it supports internal decision making, allows us to comply with Regulatory reporting obligations and enables commercial opportunities globally.
The Data team works closely with Regulatory Reporting, Compliance and Product teams to coordinate and execute all regulatory reporting matters on behalf of the Ebury group, including but not limited to AML branch reporting, jurisdictional safeguarding, trade repository reporting and transaction reporting. Some of the regulatory projects we are currently working on include: building a central data repository to Brazilian Central Bank regulatory requirements, automating the most critical processes, building a framework for all our regulatory reporting by creating new robust and automated processes, and many many more!
As part of the team you will:
- Work closely with the rest of the Data Analysts and Analytics Engineers, Data Engineering, Compliance officers and Regulatory Reporting team
- Be responsible for modelling data in our collaborative data platform to build critical regulatory reports
- Manage end-to-end regulatory reporting solutions across all jurisdictions of the company from requirements gathering, building optimised data models and delivering the reports to our regulators
- Maintain and build dashboards and visualisations on the data platform using our BI tools for the regulatory reporting and compliance teams
- Explore and implement innovative AI and Machine Learning solutions to enhance the efficiency and accuracy of regulatory reporting processes, keeping Ebury at the forefront of the regulatory technology (RegTech) landscape
What we’re looking for
- 2+ years of experience in Data/Business Analytics
- Advanced SQL skills - must be able to read and write complex SQL queries
- Experience with our modern data stack tools (a plus!) We use dbt, Google Cloud Platform (BigQuery, LookerStudio), Sigma
- Strong problem solving and analytical skills with excellent attention to detail
- The ability to manage, organise and present data in a clear, concise and actionable format
- Comfortable working in a fast-paced and demanding work environment
- Fluency in English
- Regulatory reporting experience is desirable but not mandatory
- Financial Services and Capital Markets Experience (FX, Payments, Money Markets, Treasury Management, etc) is desirable but not mandatory
#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.
Ready to apply?
Apply to Ebury
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.
Ready to apply?
Apply to Ebury
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 Analyst - Treasury
Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week
Ebury’s strategic growth plan would not be possible without our Data Analytics & Reporting team and we are seeking a Senior Data Analyst to join our Treasury domain!
Our data mission is to develop and maintain Ebury’s Data Platform and serve it to the whole company. This platform is the backbone of Ebury: it supports internal decision making, allows us to monitor our Treasury positions and risks, comply with regulatory reporting obligations and enables commercial opportunities globally.
The Data team works closely with Treasury, Product and Tech teams to coordinate and implement data analysis initiatives helping the Cash management, ALM and Treasury Reporting teams. Some of the projects we are currently working on include: MtM valuations reconciliation with our Treasury reporting system to ensure completeness and accuracy in our Financial statements, cash operational charges data analysis to reduce Treasury costs, liquidity data analysis to help ALM team manage daily liquidity obligations, and building AI agentic workflows to automate routine data operations and decision support, and many many more!
As part of the team you will
- Work closely with the rest of the Data Analysts, Analytics Engineers, Data Engineering, Treasury and Product teams
- Be responsible for modelling data in our collaborative data platform to perform critical Treasury data analysis and build reports and reconciliations for the Treasury domain
- Design, build, and maintain robust AI agentic workflows and analytical tools to automate and enhance Treasury data processes and decision-making
- Manage end-to-end treasury solutions across all jurisdictions of the company from requirements gathering, building optimised data models and delivering the reports to our treasury stakeholders and auditors
- Maintain and build dashboards and visualisations on the data platform using our BI tools for Treasury teams to monitor reporting and controls
What we’re looking for
- 6+ years of experience in Data/Business Analytics - applied to Treasury or Finance is a plus!
- Advanced SQL skills - must be able to read and write complex SQL queries
- Experience working with AI and building agentic workflows
- Experience with our modern data stack tools (a plus!) We use dbt, Google Cloud Platform (BigQuery, DataStudio), Sigma
- Strong problem solving and analytical skills with excellent attention to detail
- The ability to manage, organise and present data in a clear, concise and actionable format
- Comfortable working in a fast-paced and demanding work environment
- Track record of working autonomously with time management skills
- Fluency in English
- Financial Services and Capital Markets Experience (FX, Payments, Money Markets, Treasury Management, etc) is a good plus!
What Ebury offers you
- Competitive salary conditions
- Private health insurance, gympass and access to Meditopia
- Support to progress your career in the Data & Analytics world
- Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack
- Flexible workplace environment
- 23 days of annual leave plus your birthday off
- Fun in-person off-sites and virtual get-togethers
- Personal development including language courses
#LI-JC1
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.
Ready to apply?
Apply to Ebury
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 Analyst - Treasury
Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week
Ebury’s strategic growth plan would not be possible without our Data Analytics & Reporting team and we are seeking a Senior Data Analyst to join our Treasury domain!
Our data mission is to develop and maintain Ebury’s Data Platform and serve it to the whole company. This platform is the backbone of Ebury: it supports internal decision making, allows us to monitor our Treasury positions and risks, comply with regulatory reporting obligations and enables commercial opportunities globally.
The Data team works closely with Treasury, Product and Tech teams to coordinate and implement data analysis initiatives helping the Cash management, ALM and Treasury Reporting teams. Some of the projects we are currently working on include: MtM valuations reconciliation with our Treasury reporting system to ensure completeness and accuracy in our Financial statements, cash operational charges data analysis to reduce Treasury costs, liquidity data analysis to help ALM team manage daily liquidity obligations, and building AI agentic workflows to automate routine data operations and decision support, and many many more!
As part of the team you will
- Work closely with the rest of the Data Analysts, Analytics Engineers, Data Engineering, Treasury and Product teams
- Be responsible for modelling data in our collaborative data platform to perform critical Treasury data analysis and build reports and reconciliations for the Treasury domain
- Design, build, and maintain robust AI agentic workflows and analytical tools to automate and enhance Treasury data processes and decision-making
- Manage end-to-end treasury solutions across all jurisdictions of the company from requirements gathering, building optimised data models and delivering the reports to our treasury stakeholders and auditors
- Maintain and build dashboards and visualisations on the data platform using our BI tools for Treasury teams to monitor reporting and controls
What we’re looking for
- 6+ years of experience in Data/Business Analytics - applied to Treasury or Finance is a plus!
- Advanced SQL skills - must be able to read and write complex SQL queries
- Experience working with AI and building agentic workflows
- Experience with our modern data stack tools (a plus!) We use dbt, Google Cloud Platform (BigQuery, DataStudio), Sigma
- Strong problem solving and analytical skills with excellent attention to detail
- The ability to manage, organise and present data in a clear, concise and actionable format
- Comfortable working in a fast-paced and demanding work environment
- Track record of working autonomously with time management skills
- Fluency in English
- Financial Services and Capital Markets Experience (FX, Payments, Money Markets, Treasury Management, etc) is a good plus!
What Ebury offers you
- Competitive salary conditions
- Private health insurance, gympass and access to Meditopia
- Support to progress your career in the Data & Analytics world
- Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack
- Flexible workplace environment
- 23 days of annual leave plus your birthday off
- Fun in-person off-sites and virtual get-togethers
- Personal development including language courses
#LI-JC1
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.
Ready to apply?
Apply to Ebury
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 Analyst - FCC Reporting
Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week
Ebury’s strategic growth plan would not be possible without our Data Analytics & Compliance team and we are seeking a Data Analyst to join our Regulatory FinCrime Compliance domain!
Our data mission is to enable effective risk detection, monitoring and regulatory compliance through robust data models, scalable analytics and high quality reporting.
The team works closely with Compliance, Risk and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions.
Projects range from building curated data models to cover global key risk indicators for financial crime compliance and automating into standardised board packs, to scaling our regulatory reporting engine to incorporate datasets specific to transaction monitoring, screening and client KYC.
As part of the team you will
- Design and maintain data models and datasets used for transaction monitoring, customer risk scoring, and financial crime investigations.
- Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment.
- Develop and optimise detection logic and monitoring rules (e.g. transaction monitoring scenarios, anomaly detection, behavioural patterns).
- Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
- Build dashboards and analytical tools (Looker / Looker Studio or similar) for monitoring risk exposure, alerts, and investigation pipelines.
- Support regulatory and internal audits, providing traceability of data, methodologies, and controls.
- Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling).
What we’re looking for
- 2-4 years Experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services.
- Advanced SQL skills – able to read and write queries across complex datasets.
- Experience with our modern data stack tools is a plus: dbt, Google Cloud BigQuery, Looker / Looker Studio, Git.
- Experience building data pipelines, transformations, and analytical datasets.
- Solid understanding of financial crime frameworks.
- Experience working with Python is desirable.
- Knowledge of payment flows, FX, or banking products is desirable.
- Strong analytical thinking with focus on data quality, controls, and risk interpretation.
- Experience working with transaction monitoring systems or alerting frameworks is a plus.
- Ability to translate regulatory and compliance requirements into data logic.
- Fluency in English (Spanish, a plus)
What Ebury offers you
- Competitive salary conditions
- Private health insurance, gympass and access to Meditopia
- Support to progress your career in the Data & Analytics world
- Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack
- Flexible workplace environment (hybrid model, 4 days office / 1 day remote)
- 23 days of annual leave plus your birthday off and all the Málaga public holidays.
- Fun in-person off-sites and virtual get-togethers
- Personal development including language courses
#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.
Ready to apply?
Apply to Ebury
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 Analyst - FCC Reporting
Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week
Ebury’s strategic growth plan would not be possible without our Data Analytics & Compliance team and we are seeking a Data Analyst to join our Regulatory FinCrime Compliance domain!
Our data mission is to enable effective risk detection, monitoring and regulatory compliance through robust data models, scalable analytics and high quality reporting.
The team works closely with Compliance, Risk and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions.
Projects range from building curated data models to cover global key risk indicators for financial crime compliance and automating into standardised board packs, to scaling our regulatory reporting engine to incorporate datasets specific to transaction monitoring, screening and client KYC.
As part of the team you will
- Design and maintain data models and datasets used for transaction monitoring, customer risk scoring, and financial crime investigations.
- Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment.
- Develop and optimise detection logic and monitoring rules (e.g. transaction monitoring scenarios, anomaly detection, behavioural patterns).
- Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
- Build dashboards and analytical tools (Looker / Looker Studio or similar) for monitoring risk exposure, alerts, and investigation pipelines.
- Support regulatory and internal audits, providing traceability of data, methodologies, and controls.
- Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling).
What we’re looking for
- 2-4 years Experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services.
- Advanced SQL skills – able to read and write queries across complex datasets.
- Experience with our modern data stack tools is a plus: dbt, Google Cloud BigQuery, Looker / Looker Studio, Git.
- Experience building data pipelines, transformations, and analytical datasets.
- Solid understanding of financial crime frameworks.
- Experience working with Python is desirable.
- Knowledge of payment flows, FX, or banking products is desirable.
- Strong analytical thinking with focus on data quality, controls, and risk interpretation.
- Experience working with transaction monitoring systems or alerting frameworks is a plus.
- Ability to translate regulatory and compliance requirements into data logic.
- Fluency in English (Spanish, a plus)
What Ebury offers you
- Competitive salary conditions
- Private health insurance, gympass and access to Meditopia
- Support to progress your career in the Data & Analytics world
- Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack
- Flexible workplace environment (hybrid model, 4 days office / 1 day remote)
- 23 days of annual leave plus your birthday off and all the Málaga public holidays.
- Fun in-person off-sites and virtual get-togethers
- Personal development including language courses
#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.
Ready to apply?
Apply to Ebury
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 - AI Platform Engineer
Hybrid: 4 days in the office, 1 day working from home
Join Our Data Team at Ebury Madrid or Malaga Office.
Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!
Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.
As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.
What we offer
- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
- We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects
Responsibilities
- Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
- Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
- Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
- Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval
- Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
- Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities
About you
- Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
- Platform engineering experience building internal platforms consumed by other engineering teams
- Strong software engineering fundamentals: API design, reliability, testing, and operability
- Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
- Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
- Proficiency in Python for building platform services, data transformation, and tooling
- Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
- Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
- Fluency in English (Spanish, a plus)
If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.
#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.
Ready to apply?
Apply to Ebury
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 - AI Platform Engineer
Hybrid: 4 days in the office, 1 day working from home
Join Our Data Team at Ebury Madrid or Malaga Office.
Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!
Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.
As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.
What we offer
- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
- We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects
Responsibilities
- Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
- Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
- Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
- Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval
- Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
- Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities
About you
- Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
- Platform engineering experience building internal platforms consumed by other engineering teams
- Strong software engineering fundamentals: API design, reliability, testing, and operability
- Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
- Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
- Proficiency in Python for building platform services, data transformation, and tooling
- Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
- Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
- Fluency in English (Spanish, a plus)
If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.
#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.
Ready to apply?
Apply to Ebury
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 - AI Platform Engineer
Hybrid: 4 days in the office, 1 day working from home
Join Our Data Team at Ebury Madrid or Malaga Office.
Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!
Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.
As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.
What we offer
- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
- We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects
Responsibilities
- Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
- Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
- Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
- Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval
- Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
- Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities
About you
- Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
- Platform engineering experience building internal platforms consumed by other engineering teams
- Strong software engineering fundamentals: API design, reliability, testing, and operability
- Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
- Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
- Proficiency in Python for building platform services, data transformation, and tooling
- Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
- Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
- Fluency in English (Spanish, a plus)
If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.
#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.
Ready to apply?
Apply to Ebury
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 - AI Platform Engineer
Hybrid: 4 days in the office, 1 day working from home
Join Our Data Team at Ebury Madrid or Malaga Office.
Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!
Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.
As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.
What we offer
- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
- We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects
Responsibilities
- Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
- Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
- Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
- Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval
- Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
- Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities
About you
- Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
- Platform engineering experience building internal platforms consumed by other engineering teams
- Strong software engineering fundamentals: API design, reliability, testing, and operability
- Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
- Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
- Proficiency in Python for building platform services, data transformation, and tooling
- Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
- Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
- Fluency in English (Spanish, a plus)
If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.
#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.
Ready to apply?
Apply to Ebury
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 Analytics Engineer - Treasury & Exposure Management
Location: Madrid/Malaga (Hybrid: 4 days office / 1 day WFH)
We are looking for an Analytics Engineer to be embedded within the Treasury & Exposure domain. At Ebury, we are in the process of descentralising our models (Data mesh), empowering domains to deliver high-impact data products autonomously.
You will build the semantic layer that provides the context and definitions necessary for AI agents and stakeholders to leverage data effectively.
In Ebury we operate under a Domain-Driven Design (DDD) approach where Product, Tech, and Data align on shared goals to eliminate bottlenecks and ensure architectural alignment.
What you will do:
- Partner with the business to gather requirements and define technical action plans for robust data products.
- Lead projects from initial definition to delivery, including strategies for stakeholder (impact and testing)
- Ability to split between strategic management and technical execution; you are equally comfortable architecting a multi-domain roadmap as you are diving into the IDE to ship a critical fix
- Proactively monitor and govern data products to ensure high reliability. You will design and propose ongoing alerting frameworks to catch anomalies before they reach the business.
- Deliver hands-on data models using modern software engineering practices (version control, testing, and CI/CD).
- Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
- Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer).
- Contribute to and promote best practices for query development, version control, code review, documentation, and testing
What we’re looking for:
- 4+ years experience in similar roles, solid analytics engineering background — dbt, SQL, data modeling, and a strong sense of what makes a data product trustworthy and maintainable.
- High proficiency in SQL with the ability to build, robustly test, and optimize complex models.
- A strong sense of what makes a data product trustworthy, maintainable, and valuable to the end user.
- Finance domain knowledge, you understand how financial data works: P&L, FX, exposure, reconciliation.
- Experience with (or a genuine curiosity for) Domain-Driven Design and how it shapes team ownership and data structure.
- Fluency in English (Spanish is a plus).
#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.
Ready to apply?
Apply to Ebury
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 Analytics Engineer - Treasury & Exposure Management
Location: Madrid/Malaga (Hybrid: 4 days office / 1 day WFH)
We are looking for an Analytics Engineer to be embedded within the Treasury & Exposure domain. At Ebury, we are in the process of descentralising our models (Data mesh), empowering domains to deliver high-impact data products autonomously.
You will build the semantic layer that provides the context and definitions necessary for AI agents and stakeholders to leverage data effectively.
In Ebury we operate under a Domain-Driven Design (DDD) approach where Product, Tech, and Data align on shared goals to eliminate bottlenecks and ensure architectural alignment.
What you will do:
- Partner with the business to gather requirements and define technical action plans for robust data products.
- Lead projects from initial definition to delivery, including strategies for stakeholder (impact and testing)
- Ability to split between strategic management and technical execution; you are equally comfortable architecting a multi-domain roadmap as you are diving into the IDE to ship a critical fix
- Proactively monitor and govern data products to ensure high reliability. You will design and propose ongoing alerting frameworks to catch anomalies before they reach the business.
- Deliver hands-on data models using modern software engineering practices (version control, testing, and CI/CD).
- Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
- Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer).
- Contribute to and promote best practices for query development, version control, code review, documentation, and testing
What we’re looking for:
- 4+ years experience in similar roles, solid analytics engineering background — dbt, SQL, data modeling, and a strong sense of what makes a data product trustworthy and maintainable.
- High proficiency in SQL with the ability to build, robustly test, and optimize complex models.
- A strong sense of what makes a data product trustworthy, maintainable, and valuable to the end user.
- Finance domain knowledge, you understand how financial data works: P&L, FX, exposure, reconciliation.
- Experience with (or a genuine curiosity for) Domain-Driven Design and how it shapes team ownership and data structure.
- Fluency in English (Spanish is a plus).
#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.
Ready to apply?
Apply to Ebury
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 Analytics Engineer
Location: São Paulo (4 days on-site, 1 day remote)
Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Headquartered in London, we have more than 1,000 staff covering over 50 nationalities (and counting!) working across more than 27 offices worldwide and serving more than 45,000 clients every day.
About our team:
Ebury’s strategic growth plan would not be possible without our Data team and we are seeking a Analytics Engineer to join our Analytics Engineering team!
Our data mission is to develop and maintain Ebury’s Data Platform and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively to:
- Build ETLs and data pipelines to serve data in our platform
- Provide clean, transformed data ready for analysis and used by our BI tool
- Develop department and project-specific data models and serve these to teams across the company to drive decision-making
- Automate end solutions so we can all spend time on high-value analysis rather than running data extracts
- Collaborate with stakeholders to understand the requirements, advising on and influencing the solutions, and taking ownership of data implementation and delivery
About our technology and Data stack:
- Google Cloud Platform as our main Cloud provider
- Apache Airflow as orchestration tool
- Cloud Build as CICD
- dbt as data modelling and warehousing
- Looker and Looker Studio as Business Intelligence/dashboarding
- Github as code management tool
- Jira as project management tool
- Among others third party tools such as: Hevodata, Synq…
About the role:
As an Analytics Engineer, you will be an integral part of our data team. You will work closely with the rest of the team to help model and maintain the Data Platform.
This role also encompasses important responsibilities in quality assurance, data governance, and promoting best practices to ensure that data-related processes are efficient, secure, and adhere to industry standards.
As part of the team you will
- Gather requirements from the business and define an action plan to execute them.
- Work on projects end to end, from definition to delivery.
- Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI/CD)
- Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
- Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer)
- Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints).
- Contribute to and promote best practices for query development, version control, code review, documentation, and testing.
What we’re looking for
- 2+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
- Proficiency in SQL
- Mid - Level experience with Python
- Experience with our modern data stack tools (a plus!) We use dbt, Google Cloud Platform (BigQuery, DataStudio), Looker
- Familiarity with dimensional modelling/data warehousing concepts
- Experience with software engineering practices in data
- Attention to detail and commitment to data quality
- Advanced in English (Spanish, a plus)
#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.
Ready to apply?
Apply to Ebury
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 Analyst - Credit Risk & Underwriting
Ebury (Madrid) Office - Hybrid: 4 days in the office, 1 day working from home per week
Mission
Join Ebury's Analytics team in Madrid to build and maintain the data models and predictive frameworks that underpin our Underwriting and Credit Risk decisions. You'll go beyond reporting, designing scalable analytics assets, training explainable ML models, and translating risk signals into clear business actions.
What you’ll do
- Design, build, and maintain robust dbt data models that transform raw data into analytics-ready assets for Credit Risk and Underwriting.
- Write and optimise complex SQL and Python pipelines to model credit outcomes and surface early warning signals.
- Train, validate, and document explainable ML models (e.g., logistic regression, gradient-boosted trees) to predict defaults and portfolio behaviour.
- Own key Underwriting and Credit Risk KPIs, ensuring dashboards are accurate and up to date.
- Build and maintain dashboards in Sigma and Looker Studio that make risk data accessible to Business and Product stakeholders.
- Partner with Underwriting, Credit Risk, and Product teams to turn model outputs into actionable strategy.
What you'll own
- The end-to-end data modelling layer for Underwriting and Credit Risk analytics.
- Portfolio health monitoring and alerting framework.
- Documentation and explainability artefacts for all production ML models.
- Stakeholder-facing dashboards and regular risk reporting cadence.
Tech stack & environment
- Languages: SQL, Python
- Data modelling: dbt
- BI / visualisation: Sigma, Looker Studio
- ML modelling: Predictive modeling (XGBoost, CatBoost, Scikit-learn)
- Cloud / warehouse: BigQuery, GCP
What you’ll need
- 2+ years in a data-focused role within Banking, Fintech, or Consultancy.
- Strong SQL — comfortable writing complex joins, window functions, and CTEs at scale.
- Working proficiency in Python for data analysis and modelling.
- Experience building and maintaining dbt projects.
- Foundational understanding of supervised learning techniques and model evaluation (precision, recall, AUC, etc.).
- Ability to explain technical findings to non-technical stakeholders clearly and directly.
- Fluent English (written and spoken).
- High standards for data quality and reproducibility
Nice-to-have skills
- Direct experience with Credit Risk analytics or default modelling.
- Familiarity with Sigma and/or Looker Studio.
- Exposure to version-controlled analytics workflows (Git-based dbt projects).
- Experience with model monitoring and drift detection in production.
Why Ebury?
- Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
- Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
- Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
- Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
- Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
- Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
- Central Office: A fantastic location with excellent transport links.
#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.
Ready to apply?
Apply to Ebury
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 Platform Engineer
Madrid Office - Hybrid: 4 days in the office, 1 day working from home
Join Our Data Team at Ebury Madrid Office.
Ebury's strategic growth plan would not be possible without our Data team and we are seeking a Senior Data Engineer to join our Data Platform team!
Our mission is to develop maintain and improve Ebury's Data Platform with a focus on building scalable, robust, and innovative frameworks.
As a Senior Data Platform Engineer, you will work closely with the rest of the team to help develop and improve the Data Platform.
What we offer:
- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
- We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects
Responsibilities:
- Oversee the design, development, and maintenance of a robust data platform to be consumed across the company
- Collaborate with stakeholders to understand their data needs and deliver actionable insights
- Drive innovation and explore emerging technologies to enhance our data capabilities
- Establish and enforce data governance policies and standards to ensure data quality and security
About you:
- Proficiency in Python for data transformation and validation
- Proficiency in SQL for querying and managing large datasets, as well as experience working with structured and unstructured data sources
- Data engineering and modelling skills such as slowly changing dimensions and dimensional modelling
- Graph database modelling encouraged
- Hands-on experience with data warehousing, data lakes, and cloud platforms, including designing and implementing data solutions at scale
- Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
- Experience with GCP (Google Cloud Platform) tools and services, such as BigQuery, Cloud Run, and Cloud Functions
- Fluency in English (Spanish, a plus)
If you’re excited about this job opportunity but your background doesn’t match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.
#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.
Ready to apply?
Apply to Ebury