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Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Spain
● 🕜 Full-Time/Remote
What you will do
As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
About our team
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.
What's in it for you?
Who you are
We welcome
Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to LighthouseEbury 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:
What You'll Do
About You
You’ll be a great fit if:
Bonus Points:
What We Offer
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
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?
As an Data Science Manager, Advanced and Product Analytics, you’ll take your first step into the exciting world of analytics leadership at Cabify. This is a perfect opportunity for someone with a strong background as a Senior Data Scientist who’s ready to evolve into a people and delivery leader while still staying hands-on with data.
You’ll be part of an exceptional team of over 30 SQL and data visualization specialists, and work within one of our 11 analytics problem spaces aligned with business units across the company. In your group, you’ll collaborate closely with Product, Engineering, Growth, and Operations, using agile methodologies to deliver high-impact insights and analytics products.
We believe that great analytics leadership is rooted in great analysis. As such, this role combines strategic thinking, stakeholder management, and the ability to mentor other scientist, while still being deeply involved in data exploration and technical execution.
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 50K - 70K € depending on experience
🏝️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!
Ready to apply?
Apply to Cabify
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?
As a 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.
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: 30.000€ - 40.000€
🏝️ 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!
Ready to apply?
Apply to Cabify
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?
As a 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.
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: 30.000€ - 40.000€
🏝️ 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!
Ready to apply?
Apply to Cabify
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?
As an Data Science Manager, Advanced and Product Analytics, you’ll take your first step into the exciting world of analytics leadership at Cabify. This is a perfect opportunity for someone with a strong background as a Senior Data Scientist who’s ready to evolve into a people and delivery leader while still staying hands-on with data.
You’ll be part of an exceptional team of over 30 SQL and data visualization specialists, and work within one of our 11 analytics problem spaces aligned with business units across the company. In your group, you’ll collaborate closely with Product, Engineering, Growth, and Operations, using agile methodologies to deliver high-impact insights and analytics products.
We believe that great analytics leadership is rooted in great analysis. As such, this role combines strategic thinking, stakeholder management, and the ability to mentor other scientist, while still being deeply involved in data exploration and technical execution.
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 50K - 70K € depending on experience
🏝️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!
Ready to apply?
Apply to Cabify
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?
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.
Lead technical data projects autonomously to enhance the company's analytics capabilities through functions such as:
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!
Ready to apply?
Apply to Cabify
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?
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.
Lead technical data projects autonomously to enhance Marketing analytics capabilities through functions such as:
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!
Ready to apply?
Apply to Cabify
Ready to apply?
Apply to NEORIS
Hey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment.
Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?
Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
At Fever, we are building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, DataHub, Metabase, etc.). At the same time, we are developing our own technology to deliver high-quality data products across multiple business domains.
As an Analytics Engineer, you’ll be the bridge between data engineering and business analytics, ensuring that our stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.
The interview process will be conducted in Spanish; however, some interviews will require English.
Thank you for considering joining Fever. We cannot wait to learn more about you!
If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
Ready to apply?
Apply to FeverUp
About WPP
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!
As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:
You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.
As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.
At the same time, you solve problems in an analytical and pragmatic manner.
Moreover, you have:
Personal skills:
VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
#LI-EMEA
WPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
For more information, please visit our website, and follow VML MAP on our social channels via Instagram, LinkedIn and X.
When you click “Apply now” below, your information is sent to VML MAP. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.
Ready to apply?
Apply to VML MAPHey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment.
Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?
Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
At Fever, we are building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, DataHub, Metabase, etc.). At the same time, we are developing our own technology to deliver high-quality data products across multiple business domains.
As an Analytics Engineer, you’ll be the bridge between data engineering and business analytics, ensuring that our stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.
The interview process will be conducted in Spanish; however, some interviews will require English.
Thank you for considering joining Fever. We cannot wait to learn more about you!
If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
Ready to apply?
Apply to FeverUp
Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis.
Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact.
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.
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.
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.
Core: Google Cloud Platform (GCP), BigQuery.
Orchestration: Airflow, Cloud Composer, Keboola.
Languages: Advanced SQL (Mandatory), Python.
Visualization: Tableau, Looker (Knowledge of the semantic layer).
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
Groupon is an AI-First Company
We’re committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we’re always keen to hear how technology improves the way you work. If you’re passionate about AI or curious to explore how it can elevate your role—you’ll be right at home here.
Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services.
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Apply to GrouponEbury 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:
What we’re looking for:
#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:
What we’re looking for:
#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
Share this job
At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.
By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.
#LI-HYBRID
#LI-MR1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
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At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.
We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.
You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
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Our Data & Engineering community is growing, and we’re now looking for a Senior Data Consultant (m/f/*) to join our team in Spain, supporting our global growth.
As a Senior Data Consultant, you will combine deep hands-on experience in modern data platforms — particularly Databricks — with a strategic, client-oriented mindset. You’ll advise organizations on how to design, implement, and scale data-driven architectures, while guiding them through every stage of their digital transformation journey.
WHAT WE OFFER
WHAT YOU’LL DO
WHAT YOU’LL BRING
Did we pique your interest, or do you have any questions?
We’d love to hear from you — contact us at recruiting@ultratendency.com
Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.
We don’t just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.
We thrive on challenges. Here, you’ll work on unique projects you won’t find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.
Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
Ready to apply?
Apply to Ultra Tendency
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Our Engineering community is growing, and we’re now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Spain, supporting our global growth.
As Senior Data Engineer (m/f/*), you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering.
Did we pique your interest, or do you have any questions?
We want to hear from you: contact us at recruiting@ultratendency.com
Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.
We don’t just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.
We thrive on challenges. Here, you’ll work on unique projects you won’t find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.
Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
Ready to apply?
Apply to Ultra Tendency
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