About the role:

Our Office Management department is growing and we are looking for a new professional to join our team for our Madrid offices. The main responsibilities will be:

• Coordinate general maintenance and restocking of office supplies.
• Manage warehouse, inventory, equipment and office material.
• Negotiate, manage and improve relations with suppliers.
• Oversee office operations.
• Help to maintain a safe working space.
• Collaboration and maintenance of the quality and environmental management system.
• Make proper use of the resources provided by the organization.
• Carry out appropriate segregation of waste.

About you:

In order to be successful in your role you will need to:

• Be skilled at planning, organizing, prioritizing and executing simultaneous projects and activities.
• Have good communication and interpersonal skills.
• Fluent in Spanish and English required.
• Be solution-oriented and reliable professionals.
• Be incredibly detail-orientated with excellent time-management skills.
• Be flexible. Everything can change very quickly and you know how to adapt.

Benefits:

• Attractive compensation package
• Opportunity to have a real impact in a high-growth global category leader
• Work in a location in the heart of Madrid
• 40% discount on all Fever events and experiences.
• Health Insurance
• Gympass Membership
• English lessons
• Other benefits such as Flexible remuneration with a 100% tax exemption through Cobee and the possibility to receive in advance part of your salary by Payflow.
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!

About the Role:

• Drives the end-to-end logistics process, from customer request to final delivery, focusing on service, efficiency and cost-effectiveness.
• Logistics Planning & Quoting: Receive customer requirements, solicit quotes from vendors, negotiate rates, and select the optimal transportation solutions.
• Shipment Execution & Control: Plan, book, and manage all shipment phases, including ensuring correct documentation and tracking movements proactively.
• Cross-Functional Collaboration: Serve as the key logistics contact, coordinating essential information flow with Production, Procurement, and Warehouse teams.
• Issue Resolution & Reporting: Actively monitor shipments, resolve deviations, ensure accurate data entry, and confirm successful delivery closure.

About You:

• 1+ year of experience in a project management or coordination role.
• Proven ability to manage end-to-end international and/or domestic requests efficiently.
• Strong organizational skills with a keen eye for detail and the ability to manage competing deadlines.
• Excellent communication and negotiation skills for effective internal and external stakeholder management.

Benefits & Perks:

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Work in a location in the heart of Madrid
• Home-office friendly
• Health insurance
• Gympass membership
• English Lessons
• Other benefits such as Flexible remuneration with a 100% tax exemption through Cobee and the possibility to receive in advance part of your salary by Payflow.
• Responsibility from day one and professional and personal growth.

Sobre el puesto

Serás responsable de las operaciones físicas de mercancía en nuestras instalaciones, asegurando que cada artículo esté en el lugar adecuado en el momento preciso.

• Entrada de mercancía y Control de Inventario: Ejecutar la recepción, clasificación y ubicación estratégica del stock utilizando Sistemas de Gestión de Almacén y terminales PDA.
• Preparación de pedidos (Picking): Realizar tareas de picking y packing con alta precisión para garantizar que los pedidos estén listos para su expedición puntual.
• Integridad del Stock: Llevar a cabo recuentos periódicos de inventario y controles de calidad para mantener una exactitud de datos del 100% en nuestros sistemas.
• Manejo de maquinaria: Operar de forma segura maquinaria de almacén (como carretillas elevadoras o transpaletas) para mover mercancías de manera eficiente por la nave.
• Mantenimiento de las instalaciones: Cumplir estrictamente los protocolos de higiene y seguridad para garantizar un entorno de trabajo limpio, organizado y libre de riesgos.

Sobre ti

• Experiencia: Experiencia previa en entornos de almacén o logística, específicamente en funciones de recepción, picking y packing.
• Competencias técnicas: Comodidad en el uso de herramientas digitales como PDAs y Sistemas de Gestión de Almacén.
• Certificaciones: Se valorará muy positivamente disponer de carné de carretillero en vigor.
• Atención al detalle: Gran enfoque en la precisión para evitar descuadres de inventario y errores de envío.
• Capacidad física: Capacidad para afrontar las exigencias físicas del puesto, incluyendo el movimiento de mercancía y permanecer de pie durante períodos prolongados.
• Ubicación: Disponibilidad para desplazarse al Polígono Industrial San Agustín (Nave C), en San Agustín del Guadalix.

Benefits & Perks:

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. 
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Work in the heart of the city, with possible travel across our markets
• Responsibility from day one and professional and personal growth
• Great work environment with a fun, international team of talented people to work with!
• Health insurance
• Fondo de Ahorro
• Gympass membership 
• 20 days annual leave

The role

We are seeking a highly organized and experienced Warehouse and Logistics Specialist to oversee and optimize logistics, warehouse management and asset-related processes.

This role will involve implementing and refining asset management processes, reviewing logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.

This position is onsite in Madrid, Spain.

Your responsibilities will include: 

• Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
• Implement asset management processes to track the full lifecycle of assets.
• Review and refine logistics/warehousing processes to identify areas for improvement.
• Set up and manage equipment certification processes to meet operational and regulatory requirements.
• Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
• Manage insurance for assets, including claims, renewals and risk mitigation strategies.
• Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
• Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
• Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.

We expect you to have: 

• 3-5 years of experience in logistics or logistics project management.
• Familiarity with logistics management systems, ERP software and asset-tracking tools.
• Strong project management skills with the ability to manage multiple tasks and priorities.
• Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
• Strong attention to detail and organizational skills.

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go...fancy joining us?

About the position

As a Senior Data Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced and Product Analytics department is organized around 11 problem spaces that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven.

In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

Lead technical data projects autonomously to enhance the company's analytics capabilities through functions such as:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL and abstract data models in our data warehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Define the squad analytics and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
• Generate and execute ideas for exploratory analysis to shape future projects and provide action recommendations.
• Define KPIs and present findings to squad members and senior management to guide business and product decisions.
• Lead discussions with the engineering team to define and design everything required to satisfy our data needs.
• Help design new features alongside product managers and engineers, giving data insights, measuring their performance and testing their business impact.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• +3 years of working experience as an Analyst
• Proficient in writing and understanding complex SQL and working with large data sets
• Working expertise of Tableau or PowerBI
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• A Master's degree in Business Analytics, Business Intelligence, or related 

What’s it like to work at Cabify?

We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 38.000€ - 53.000€

🏝️ Recharge days

🌍 Our office is located in Madrid. 

⌚ Flexible work environment & hours.

🙌 Regular team events.

🚗 Cabify staff free rides.

🚀 Personal development programs based on our career paths.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 A pet room, so you don’t have to leave your furry friend at home

☕️ And last but not least...free coffee and fruit!

Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go...fancy joining us?

About the position

As a Senior Data Scientist, Marketing, you'll be part of an exceptional team of over 30 SQL and data visualization specialists and be focused on a specific problem space ensuring that every decision in Marketing team is data-driven. 

In your day-to-day role, you'll work conducting data analysis aimed at helping decision makers to maximize digital traffic sources’ return, as well as sizing the impact of flows and communications to our different audiences, including CRM campaigns managed through Braze, all of this by working closely with Engineering discipline. We also follow agile methodologies and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, as well as multiple data sources related to digital networks and our customer engagement platform, Braze.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

Lead technical data projects autonomously to enhance Marketing analytics capabilities through functions such as:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL and abstract data models in our data warehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Define analytics and reports using Tableau to communicate results and monitor KPIs regularly.
• Generate and execute ideas for exploratory analysis to shape future projects and provide action recommendations.
• Define KPIs and present findings to Marketing team and senior management to guide business and product decisions.
• Lead discussions with the engineering team to define and design everything required to satisfy our data needs, including network integrations.
• Help design and define events with Engineering to be consumed by networks and platforms.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• +3 years of working experience as a Data Scientist or Data Analyst
• Proficient in writing and understanding complex SQL and working with large data sets
• Working expertise of Tableau or PowerBI
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• Master's degree in Business Analytics, Business Intelligence, or related 
• Master’s degree or certificates on Digital Marketing are a big plus
• At least 2 years on specific digital marketing related experience
• Strong knowledge of digital marketing attribution modeling

What’s it like to work at Cabify?

We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 38K - 53K€

🏝️ Recharge days (10 Fridays Off annually)I

🌍 Our office is located in Madrid. 

⌚ Flexible work environment & hours.

🙌 Regular team events.

🚗 Cabify staff free rides.

🚀 Personal development programs based on our career paths.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 A pet room, so you don’t have to leave your furry friend at home

☕️ And last but not least...free coffee and fruit!

Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team collaboration, and organizational control into a single coherent system. This platform serves as the execution and governance layer for AI-driven development and is deeply integrated with JetBrains tools and designed to work across teams, products, and environments.

As part of this vision, we’re building AI governance capabilities into JetBrains Console that help organizations manage, observe, and understand AI usage across their teams. Our AI analytics give company admins and decision-makers visibility into adoption, usage, cost, and the impact of AI agent development.

We’re looking for a Senior Product Manager to lead the vision and execution for customer-facing AI analytics as part of our AI governance product. This is one of the most valuable areas of the platform – it helps organizations understand how AI is being adopted across JetBrains products and third-party AI tools, how it affects developer workflows, where friction exists, and how to make better decisions about rollout, budgets, limits, and tooling. 

In this role, you will:

• Own the product roadmap for AI analytics within JetBrains Console.
• Drive product discovery using customer research, product telemetry, usage data, and feedback from Sales, Customer Success, and other customer-facing teams.
• Define and develop analytics experiences across adoption, usage, cost, activity, and impact.
• Identify, define, and improve the product metrics behind our analytics, ensuring they are meaningful, trustworthy, and actionable for customers.
• Generate, prioritize, and validate hypotheses through research, data analysis, and experimentation.
• Work closely with engineering, design, and data warehouse teams to define problems, shape solutions, and iterate quickly.
• Collaborate with adjacent product teams across AI, IDEs, licensing, and administration to build coherent customer experiences.
• Help shape the next generation of analytics capabilities, including deeper dashboards, segmentation, and API-enabled access to analytics data.

We’ll be happy to have you on our team if you:

• Have 5+ years of product management experience, ideally in B2B or enterprise software.
• Have experience building analytics, observability, reporting, or admin-facing products.
• Have a technical background or hands-on experience with software development.
• Are familiar with modern software development practices and developer workflows.
• Have a strong understanding of product metrics, telemetry, and data-informed decision-making.
• Are comfortable working with technical products and engineering-heavy teams.
• Are proficient in English, with strong written and spoken communication skills.

We'd be especially thrilled if you have:

• Experience in AI products for developers, governance, compliance, or usage-based platforms.
• Experience building products for software teams, engineering organizations, or technical decision-makers.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-HYBRID - if you want LinkedIn to post your role as hybrid in all the locations where the role is open ---> leave this tag in JD
#LI-AA1 

You can make the tag invisible on the job post by making the color of the tag white, for this go to ---> Format - Text color and choose white colour for your tag(s)

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

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

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

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

Architect the "Source of Truth" for a Global Marketplace

At Groupon, data isn't just a byproduct—it is the product. We are looking for a Senior Data Analytics Engineer to bridge the gap between raw infrastructure and business insight. You won't just write queries; you will architect the semantic layer of our data warehouse, ensuring that every dashboard, AI model, and executive decision is built on a foundation of trust.

This is a high-impact Individual Contributor role for a builder who loves SQL, obsesses over data modeling, and wants to solve complex problems at a global scale.

The AI Advantage 🤖

We don't just analyze AI; we build with it. You will work in an AI-First environment, leveraging LLMs (ChatGPT, Claude, Copilot) daily to:

• Accelerate SQL generation and refactoring.

• Automate documentation and data lineage.

• Build specific "Feature Stores" that power our Machine Learning models.

What You’ll Build & Own

• The Gold Layer: Design and maintain clean, reusable, and documented data marts in BigQuery that serve as the single source of truth for the company.

• Pipeline Orchestration: Build robust ELT pipelines using Airflow or Keboola. If a pipeline fails at 3 AM, your code is resilient enough to handle it.

• Performance Engineering: Optimize SQL for massive scale. You understand clustering, partitioning, and execution plans to ensure we process petabytes without burning the budget.

• Data Governance: Implement automated testing (dbt-style checks) to catch data drift before it hits the dashboard.

The Tech Stack

• Core: Google Cloud Platform (GCP), BigQuery.

• Orchestration: Airflow, Cloud Composer, Keboola.

• Languages: Advanced SQL (Mandatory), Python.

• Visualization: Tableau, Looker (Knowledge of the semantic layer).

Must-Haves

• 5+ Years Experience: You have a track record in Analytics Engineering, Data Engineering, or BI Development.

• SQL Mastery: You write production-grade code. You know the difference between a query that works and a query that scales.

• Data Modeling: Deep understanding of dimensional modeling (Kimball/Star Schema) and modern data stack patterns.

• Builder Mindset: You treat data assets like software products—versioned, tested, and documented.

Ready to build the data engine that powers the future of local commerce? Apply Now.

#LI-KH1 #LI-Hybrid

Location: 80% onsite in our local Fulfillment center (Ctra. Madrid-Barcelona km, 34.400 28805, Alcalá de Henares, Spain)

Role Description: 

The role is an individual contributor responsible for developing and supporting our partner fulfillment centers to ensure they are all performing to the necessary standards. This role will oversee new startup functions including project management, systems training, and equipment set up. The Operations Support Manager will build solid partnerships with new, and existing, 3PL partner sites by understanding their unique needs and facilitating their success within ShipBob’s dashboard and suite of fulfillment services. This role reports to the Senior Operations Support Manager who also serves as the backup for this role. This role reports to Regional Director, Fulfillment Ops. 

What you will do: 

• Supporting our 3PLs: 
  • Training: Coach and guide our 3PL partners to success defined by our metrics on the ShipBob Scorecard. 
  • Set up tailored training sessions for all stakeholders based on merchant needs and specific dashboard configuration and functionality.  
  • Reinforce training materials, on an on-going basis, provided during Phase I and Phase II training to encourage self-service and seamless interaction with ShipBob dashboard and services. 
• Troubleshoot: Find and Course-Correct. 
  • Support the relationship to handle questions, requests, and issues related to onboarding at ShipBob as a 3PL partner site. 
  • Adoption: Inspire 3PL partner use of Key ShipBob Features and Tools/Dashboard. 
  • Bridge ShipBob 3PL partner objectives with ShipBob capabilities to push use of key functions and features of operational WMS and SOP’s.  
  • Work with the 3PLs to ensure quality closure of internal tickets (proper root cause analysis and resolution). 
• Supporting the execution of Best-in-Class operations.  
  • Timely and accurate Inbound Operations that support fulfilment operations to commence accurately. 
  • Provide accurate, visual, and detailed feedback to our merchants, in case of expectations misalignment, through our support team.  
  • Value Added Service (VAS) Operations are being completed accurately by the 3PL and queries to requirements are being quickly resolved. 
  • Work with Freight partners to organize transport where coordination is required. 
  • Support the development of efficient and scalable kitting solutions as the sites and demand for solutions grow. 
  • Support the 3PL partners on CI and efficiency initiatives.  
  • Lease with ShipBob internal stakeholders to coordinate resources and support 3PLs. 
• Supporting our Merchants: 
  • Perform: Nail Key Performance Indicators (KPIs).  
  • SLAs: Help 3PL partners achieve all key metrics (KPIs and SLAs) which foster a world class merchant experience.  
  • Work with the Merchant Experience Specialists (MES) to understand the Merchant Care Dashboard statistics and trends. Work with the 3PL on their specific improvement plans escalating to the site leadership team and your Line Manager if progress had not been made. 
  • Work closely with Merchant Implementation Managers and Merchant Support Managers to ensure that merchants onboarding/expanding into international locations receive an exceptional onboarding experience through focused action plans in their first 90 days, regular touch points with internal and external stakeholders and ensuring 3PLs understand pick/pack requirements. 
  • Weekly review of space utilization and opportunities to consolidate inventory IDs to reduce costs for the merchant. Work together with the 3PL to execute changes required. 
  • Work with 3PLs to resolve any urgent escalation or out of SLA request, with the merchant top of mind, and communicate outcomes accordingly to both ShipBob and 3PL stakeholders. 
• Supporting our Internal Customers: 
  • Support the operational Support Team (Control Tower) in getting timely responses to operational queries, resolving escalations, and providing general status updates. 
  • Work with Merchant Care and Inventory Control Quality Assurance (ICQA) to ensure internal queries (Jira), our ticketing system, are responded to as thoroughly as possible with trends being resolved more tactically through root cause investigations.  
  • Attending Weekly Business Review calls with our 3PL partners, supporting follow-up actions for completion. 
  • Attend daily stand-up calls with internal teams and take ownership of closing action items. 
  • Provide weekly reporting and visibility to our local commercial team. 
  • Support the National Ops Manager by taking on challenges and being prepared to be the next clear successor for this role.  
• Comply to all food safety and compliance policies and regulations. 
• Additional duties and responsibilities as necessary. 

What you will bring to the table: 

• Demonstrated ability to build solid relationships and get business done. 
• Patience/Resilience: Knack for teaching and helping 3PL partners, ensuring adoption of ShipBob SOP’s, tools, and WMS systems.  
• Enjoyment of standardized processes, with a curious mind and CI mindset.  
• Minimum 4-7 years of operations, e-commerce fulfillment experience, or a fast-paced environment and managing new teams and setting them up for success. 
• Advanced understanding of either outbound or inbound fulfillment operations.  
• Ability to consistently assess partner site needs and deliver solutions along with connecting partners to the appropriate resources within ShipBob. 
• Intermediate skills with Microsoft Office tools (MS Excel) 
• Must have access to a vehicle for travel needs between locations. 

Perks & Benefits: 

• Life Insurance 
• Health Insurance Scheme 
• See Our High-Performing Culture >>> Check us out on Instagram (@lifeatshipbob) 

#LI-DS2

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

The Team:​

Celonis Services is a strategic services organisation that focuses on the technical aspects of our customers' journeys as well as generating tangible business value during the engagements. It includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations, maximizing business value and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement and support expertise. 

The Role:

As a Lead Consultant, you will accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and develop data-driven process insights using SQL and create complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Supply Chain Management. You leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Artificial Intelligence (AI) and Machine Learning (ML). 

The work you’ll do:

Initiate:

• Play a key role in the Celonis implementation project to ensure the optimal solution to tackle the customer’s pain points
• Design innovative analyses and operational apps and enrich them with Machine Learning algorithms or Artificial Intelligence to make the customer’s processes transparent 
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer

Implement:

• Conduct value workshops to develop business cases and align measures to improve process inefficiencies 
• Quantify the business and financial potential and present the findings to the management 
• Implement our Process Automation technology to speed up the customer’s processes, to drive value and to improve the process conformance rate

Adopt:

• Implement the most relevant KPIs measuring the customer’s success
• Ensure the enablement of the customer to continuously improve processes
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• Min. 7 years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area. 
• Hands-on experience applying AI/ML techniques or similar technologies
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organised and known for being a quick learner
• Business acumen is a strong plus, supporting the ability to understand client needs, identify value drivers, and deliver strategic, impact-driven recommendations
• Successfully completed your studies in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

#LI-DB5

The Team:​

Celonis Services is a strategic services organisation that focuses on the technical aspects of our customers' journeys as well as generating tangible business value during the engagements. It includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations, maximizing business value and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement and support expertise. 

The Role:

As a Principal Consultant, you will accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and develop data-driven process insights using SQL and create complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Spply Chain Management. You leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Artificial Intelligence (AI) and Machine Learning (ML). 

The work you’ll do:

Initiate:

• Play a key role in the Celonis implementation project to ensure the optimal solution to tackle the customer’s pain points
• Design innovative analyses and operational apps and enrich them with Machine Learning algorithms or Artificial Intelligence to make the customer’s processes transparent 
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer
• Strategic Advisory: Advise C-level stakeholders (Chief Risk Officers, DPOs) on the regulatory roadmap, helping them navigate the complex landscape of AI compliance.
• Engagement Leadership: Collaborate with senior executives and process owners to define their Responsible AI goals. You will act as the primary point of contact for governance escalations and regulatory roadblocks, ensuring that compliance milestones are met on time.

Implement:

• Conduct value workshops to develop business cases and align measures to improve process inefficiencies 
• Quantify the business and financial potential and present the findings to the management 
• Implement our Process Automation technology to speed up the customer’s processes, to drive value and to improve the process conformance rate

Adopt:

• Implement the most relevant KPIs measuring the customer’s success
• Ensure the enablement of the customer to continuously improve processes
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• 10+ years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area. 
• Hands-on experience applying AI/ML techniques or similar technologies
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organised and known for being a quick learner
• Business acumen is a strong plus, supporting the ability to understand client needs, identify value drivers, and deliver strategic, impact-driven recommendations
• Master’s degree or PhD in Law, Political Science, or a related field (e.g., Science & Technology Studies).
• Bonus: Certifications in Privacy (CIPP/E) or AI Governance (e.g., AIGP)

#LI-DB5