Redshift Jobs in Madrid.
All active Redshift roles based in Madrid.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
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 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.
You will:
- Work closely with stakeholders to understand business needs, prioritize projects, and ensure delivery of actionable insights.
- Be a technical reference in the team, leading complex data initiatives and helping define data models and reporting frameworks.
- Own and deliver analyses that guide business and product decisions, communicating findings clearly to senior stakeholders.
- Own the dashboards and KPI strategy, ensuring analytical solutions drive decision-making, scalability, and consistency across teams.
- Help design new product features alongside PMs and engineers, from the ideation phase to post-launch impact measurement.
- Support the development and documentation of robust, scalable, and reusable SQL models and pipelines.
- Mentor Data Scientist and contribute to a strong data culture across your team.
Our ideal candidate has:
- Great alignment with our principles — we take this very seriously.
- 5+ years of experience in Analytics or Data Science, including 2+ years operating as Senior Data Analyst, with a demonstrated track record of leading complex, high-impact analytical initiatives.
- 2+ years of experience leading data teams or major cross-functional initiatives, including people management and/or sustained ownership of technical direction, with prior experience as a Tech Lead, Data Lead, or Manager preferred.
- Strong proficiency in SQL and experience working with large-scale data warehouses (BigQuery, Redshift, etc.).
- Hands-on experience with data visualization tools such as Tableau or PowerBI.
- Familiarity with product analytics tools like Amplitude, Mixpanel, or Datadog.
- A degree in Business, Economics, Engineering, Statistics, or a related field.
- Full professional fluency in English and Spanish.
- Experience mentoring or coaching other analysts.
Bonus points:
- Familiarity with Airflow and Git-based workflow for data modeling.
- A Master’s degree in Analytics, Business Intelligence, or similar.
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 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?
About the position
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.
You will:
- Exploit large-scale data warehouses performing efficient SQL.
- Define ETL models in our datawarehouse with Airflow.
- Document and maintain your code and queries in Gitlab.
- Create dashboards and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
- Execute exploratory analysis to shape future projects and provide action recommendations.
- Present findings to squad team members to guide business and product decisions.
- Work closely with engineers to define what data is needed for analysis, request creation of new app events, 3rd party integrations, collaborate in the data models design, granularity, and how they relate to existing models.
- Help design new features alongside product managers and engineers, 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
- At least 2 years of working experience as an Analyst
- Experienced in writing and understanding complex SQL and working with large data sets
- Working knowledge of Tableau, Qlik, PowerBI, Looker, or any other data visualization tool
- 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
- Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
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: 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?
About the position
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.
You will:
- Exploit large-scale data warehouses performing efficient SQL.
- Define ETL models in our datawarehouse with Airflow.
- Document and maintain your code and queries in Gitlab.
- Create dashboards and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
- Execute exploratory analysis to shape future projects and provide action recommendations.
- Present findings to squad team members to guide business and product decisions.
- Work closely with engineers to define what data is needed for analysis, request creation of new app events, 3rd party integrations, collaborate in the data models design, granularity, and how they relate to existing models.
- Help design new features alongside product managers and engineers, 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
- At least 2 years of working experience as an Analyst
- Experienced in writing and understanding complex SQL and working with large data sets
- Working knowledge of Tableau, Qlik, PowerBI, Looker, or any other data visualization tool
- 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
- Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
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: 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?
About the position
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.
You will:
- Work closely with stakeholders to understand business needs, prioritize projects, and ensure delivery of actionable insights.
- Be a technical reference in the team, leading complex data initiatives and helping define data models and reporting frameworks.
- Own and deliver analyses that guide business and product decisions, communicating findings clearly to senior stakeholders.
- Own the dashboards and KPI strategy, ensuring analytical solutions drive decision-making, scalability, and consistency across teams.
- Help design new product features alongside PMs and engineers, from the ideation phase to post-launch impact measurement.
- Support the development and documentation of robust, scalable, and reusable SQL models and pipelines.
- Mentor Data Scientist and contribute to a strong data culture across your team.
Our ideal candidate has:
- Great alignment with our principles — we take this very seriously.
- 5+ years of experience in Analytics or Data Science, including 2+ years operating as Senior Data Analyst, with a demonstrated track record of leading complex, high-impact analytical initiatives.
- 2+ years of experience leading data teams or major cross-functional initiatives, including people management and/or sustained ownership of technical direction, with prior experience as a Tech Lead, Data Lead, or Manager preferred.
- Strong proficiency in SQL and experience working with large-scale data warehouses (BigQuery, Redshift, etc.).
- Hands-on experience with data visualization tools such as Tableau or PowerBI.
- Familiarity with product analytics tools like Amplitude, Mixpanel, or Datadog.
- A degree in Business, Economics, Engineering, Statistics, or a related field.
- Full professional fluency in English and Spanish.
- Experience mentoring or coaching other analysts.
Bonus points:
- Familiarity with Airflow and Git-based workflow for data modeling.
- A Master’s degree in Analytics, Business Intelligence, or similar.
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 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?
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!
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?
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!
Ready to apply?
Apply to Cabify
Estamos en búsqueda de: Senior Data Engineer
Principales responsabilidades:
- Diseñar, desarrollar y mantener pipelines de datos ETL y ELT en entornos cloud.
- Implementar soluciones de procesamiento de datos a gran escala utilizando Apache Spark (PySpark).
- Construir y optimizar modelos de datos analíticos en Snowflake y otros data warehouses.
- Desarrollar y desplegar microservicios orientados a datos utilizando Python y FastAPI.
- Automatizar infraestructuras y despliegues mediante herramientas de CI/CD e infraestructura como código.
- Colaborar con equipos de Data, Backend y DevOps para definir y mejorar arquitecturas de datos escalables.
Requerimientos:
- Más de 5 años de experiencia como Data Engineer o roles similares.
- Experiencia sólida en entornos Cloud, especialmente AWS (Glue, Lambda, S3, ECS, ECR, Step Functions, Redshift, Athena, CloudWatch).
- Dominio de Apache Spark con PySpark para procesamiento de datos.
- Experiencia en Snowflake y desarrollo de pipelines ELT con DBT.
- Conocimientos avanzados de SQL (optimización, CTEs, window functions).
- Desarrollo en Python avanzado (Pandas, PySpark, APIs REST con FastAPI).
- Experiencia con Docker y despliegue de servicios en AWS.
- Uso de Git y flujos de trabajo de CI/CD.
- Trabajo en entornos Linux (bash scripting).
- Experiencia con GCP (BigQuery) y/o Azure.
- Conocimiento de formatos y tecnologías de almacenamiento como Delta Lake, Iceberg y Parquet.
- Experiencia con Airflow, EventBridge u otras herramientas de orquestación.
- Conocimientos en modelado dimensional (Star Schema, Snowflake Schema).
- Experiencia con Terraform y/o CloudFormation.
- Certificaciones Cloud o Data.
- Nivel intermedio de inglés técnico.
Ofrecemos:
- Contrato indefinido con salario competitivo.
- Modalidad flexible y posibilidad de trabajo remoto.
- Plan de carrera personalizado y formación continua (certificaciones, inglés, etc.).
- Participación en proyectos estables con alto componente técnico.
- Flexibilidad horaria y enfoque en la conciliación.
- Beneficios sociales adaptados a tus necesidades.
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.
About the Role
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.
What You’ll Do
- Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.
- Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).
- Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.
- Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.
- Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story.
- Contribute to Airflow pipelines in Python, supporting automation and orchestration needs.
- Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.
- Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.
What You Bring
- Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
- A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
- A collaborative mindset: comfortable working with both engineers and business stakeholders.
- Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
- A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
- Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar).
- Hands-on experience with DBT (or similar transformation frameworks).
- Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect).
- Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
- Experience with BI tools (Metabase, Superset, Tableau, etc.).
- Understanding of data quality, governance, and observability practices.
Nice to Have
- Experience in a federated or data mesh environment.
- Familiarity with data catalog tools (DataHub, Collibra, Amundsen).
- Exposure to analytics in domains like marketing, CRM, or B2B reporting.
- Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.
Benefits & Perks
- Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
- Stock options
- Responsibility from day one and professional and personal growth
- Opportunity to have a real impact in a high-growth global category leader
- 40% discount on all Fever events and experiences
- Home office friendly
- Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
- English Lessons
- Gympass Membership
- Possibility to receive in advance part of your salary by Payflow
Interview Process
The interview process will be conducted in Spanish; however, some interviews will require English.
- Talent Interview
- Technical Interview (90')
- Manager Interview
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
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.
About the Role
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.
What You’ll Do
- Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.
- Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).
- Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.
- Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.
- Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story.
- Contribute to Airflow pipelines in Python, supporting automation and orchestration needs.
- Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.
- Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.
What You Bring
- Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
- A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
- A collaborative mindset: comfortable working with both engineers and business stakeholders.
- Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
- A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
- Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar).
- Hands-on experience with DBT (or similar transformation frameworks).
- Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect).
- Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
- Experience with BI tools (Metabase, Superset, Tableau, etc.).
- Understanding of data quality, governance, and observability practices.
Nice to Have
- Experience in a federated or data mesh environment.
- Familiarity with data catalog tools (DataHub, Collibra, Amundsen).
- Exposure to analytics in domains like marketing, CRM, or B2B reporting.
- Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.
Benefits & Perks
- Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
- Stock options
- Responsibility from day one and professional and personal growth
- Opportunity to have a real impact in a high-growth global category leader
- 40% discount on all Fever events and experiences
- Home office friendly
- Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
- English Lessons
- Gympass Membership
- Possibility to receive in advance part of your salary by Payflow
Interview Process
The interview process will be conducted in Spanish; however, some interviews will require English.
- Talent Interview
- Technical Interview (90')
- Manager Interview
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 Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
Nuestra cultura y nuestras personas son el motor de WPP Media, y nos impulsan a ofrecer experiencias excepcionales. En este rol, tu contribución será clave para vivir y promover nuestros valores:
- Ser Extraordinario: Liderando colectivamente para inspirar una creatividad transformadora.
- Ser Abierto: Equilibrando las experiencias de las personas y los clientes, cultivando la confianza.
- Ser Optimista: Impulsando el crecimiento y el desarrollo para movilizar a toda la empresa.
Tu rol y contribución
Actualmente, desde nuestro equipo de Data, Technology & Analytics buscamos un/a Data Engineer que impulse la implementación y el mantenimiento de soluciones de datos escalables que respondan a los desafíos de nuestros clientes y de la organización.
En este rol, tendrás la oportunidad de:
- Desarrollar y mantener la infraestructura de datos de WPP Media.
- Implementar y mantener herramientas de reporting y benchmarking.
- Crear soluciones de reporting a medida para cada cliente.
- Automatizar procesos para garantizar la calidad, escalabilidad y velocidad de los datos.
- Verificar y validar el flujo de datos entre diferentes procesos.
- Desarrollar y automatizar la extracción de datos, principalmente con BigQuery y DBT.
- Mantener una interlocución constante con equipos internos y clientes durante el desarrollo de los proyectos.
¿Qué buscamos en ti?
- Experiencia de al menos 2 años en una posición similar, con conocimientos avanzados en SQL, Google BigQuery y Google Cloud Platform.
- Nivel avanzado en Power BI (modelado de datos, PowerQuery, DAX).
- Experiencia demostrable en entornos de Data Warehousing (Snowflake, Azure, Amazon Redshift).
- Manejo de Python y Git para el control de versiones.
- Nivel de inglés intermedio, necesario para la comunicación con equipos globales.
- Se valorará positivamente el conocimiento o interés en el sector de la publicidad y medios.
- Grado en Ingeniería, Matemáticas, Física, Estadística o un campo similar.
Vida en WPP Media y beneficios
En WPP Media, invertimos en nuestra gente, impulsando tu crecimiento profesional con la misma pasión con la que lideramos la inversión responsable en medios. Formar parte de nuestro equipo significa acceder a una red global de conocimiento y oportunidades, donde podrás expandir tus horizontes y estar siempre a la vanguardia del sector. Además de un entorno de trabajo dinámico y desafiante, en WPP Media nos preocupamos por tu bienestar y equilibrio. Por ello, ofrecemos un paquete de beneficios pensado para ti:
- Flexibilidad: Disfruta de un modelo híbrido de teletrabajo en Madrid, complementado con flexibilidad horaria en la entrada y salida.
- Bienestar y ventajas: Accede a un plan de Retribución Flexible que se adapta a tus necesidades, subvención del menú diario y café y fruta en la oficina.
- Cuidado personal: Fomentamos tu salud y bienestar con clases de Yoga/Pilates y la posibilidad de sesiones de fisioterapia.
Próximos pasos
Si te identificas con esta oportunidad y quieres formar parte de WPP Media, ¡nos encantaría conocerte!. Envíanos tu candidatura y, si tu perfil encaja con lo que buscamos, nos pondremos en contacto contigo. Para cualquier duda, puedes contactar con nosotros en talentacquisition.spain@wppmedia.com.
WPP Media ofrece igualdad de oportunidades y considera las candidaturas para todos los puestos sin distinción de raza, color, sexo, identidad de género, orientación sexual, religión, nacionalidad, embarazo, nacimiento de un hijo/a, condiciones médicas o discapacidad.
Para obtener más información sobre cómo procesamos la información que nos proporcionas consulta nuestra Política de Privacidad (https://www.wppmedia.com/pages/privacy-policy).
#Hiring #WPPMedia #DataTechnology #DataEngineer #BigQuery #SQL
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP Media