Ofertes d'ocupació de Enginyer/a de Software a Madrid

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de jul.

. Agile

This AI & data analytics consulting firm seeks an agile Palantir Foundry Engineer to design and deploy complex industrial…

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de jul.

. Java Python Agile TSQL Docker Cloud Coumputing Scala AWS Kafka Spark

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Are you a Data engineer looking to join a leading technology company to build products and features? Are you passionate about data and everything it powers? Are you ready to help people travel, go from anywhere to somewhere, possible? If this sounds like you, keep reading!

Introduction to team

Expedia B2B is the B2B arm of Expedia Group. We provide the scale, innovative technology and supply of Expedia Group to businesses looking to take on the world of travel. Through these partnerships we power experiences for millions of consumers globally, helping drive brand loyalty and growth for our partners, and Expedia Group.

We're constantly looking for opportunities to improve the breadth and depth of the products we offer. From a strategic standpoint, our ambition is to unlock the power of Expedia for partners. Our mission is to fuel our partners’ growth through our unparalleled technology, travel supply and support services. We are about travel, but also about state-of-the-art technology, AI and ML. Data is our underlying foundation, and the only way to operate at our immense scale is to develop our own technologies and use cloud capabilities on positive and exciting test and learn environment.

As today, the streaming platform ingests more than 3.6b domain event messages per day, 11.5 TB, that we enrich and transform, making it available for all internal functions, people and services.

If you are someone with a growth mindset and love solving complex and challenging problems, come join us on this exciting journey.

In This Role, You Will

• Developing various facets of data capture, data processing, storage, distribution and visualization
• Understanding and applying AWS standard methodologies and products (compute, storage, databases)
• Writing clean, maintainable and well-tested code
• Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency)
• Communicating and documenting solutions and design decisions
• Proposing new ways of doing things and contribute to the system architecture
• Be part of an agile team that is continuously learning and improving.
  
  

Experience And Qualification

• Experience with at least one modern programming language (e.g. Scala, Python or Java etc)
• Experience delivering and supporting highly available and scalable solutions with large transaction volume
• Experience in working with Relational Databases and proven knowledge of SQL
• Experience of using cloud services (e.g. AWS)
• A passion for learning, especially in the areas of data, technology, service design patterns and system architecture
• Be self-motivated with drive and good organizational skills to work in a multi-disciplinary team.
  
  

Our Team Really Enjoy

• A friendly and collaborative team who are keen to share their knowledge and constantly learn new things
• A bias for action
• You will get the opportunity to work on a cloud-based data lake backed by the full suite technologies and including Kafka, Spark, Scala, Airflow, Hive, Kinesis, EMR and Docker.
  
  

The total cash range for this position in Madrid is €43,000.00 to €60,500.00. Employees in this role have the potential to increase their pay up to €69,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits And Perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life.

You can find the benefits for this location and any collective agreement that may apply here.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de jul.

Teletreball . API Python Azure Cloud Coumputing REST SQL

🤗 #BEPARTOFTHEGROWTH ALTIA

Somos un equipo de 4.000 profesionales que creamos soluciones digitales preparadas para el futuro, capaces de generar valor real y provocar cambios significativos.Repartidos en más de 30 localizaciones de 10 países, sumamos nuestra energía aplicando nuestra visión innovadora de la tecnología a proyectos para más de 1.000 organizaciones que son motores del cambio.Llevamos 30 años con un propósito: crecer haciendo crecer, y hacerlo, además, de forma sostenible y duradera. Tenemos claro que solo seremos importantes si juntos aportamos un impacto positivo y todos evolucionamos en el proceso.Queremos estar siempre cerca de nuestros clientes, evolucionando juntos y aprovechando al máximo las oportunidades.

🚀 #SEEKINGYOU En ALTIA seguimos creciendo y buscamos un/a Data Engineer Azure / Databricks para unirse a nuestro equipo de Data Analytics. Se trata de un proyecto estable, indefinido y de gran envergadura en el que te encargarás del desarrollo de productos de datos dentro de la plataforma corporativa global.

⭐ ¿QUÉ TENEMOS PARA TI?

• Modelo de trabajo híbrido o remoto.
• Formar parte de una empresa en crecimiento, donde la innovación y la calidad son nuestras prioridades.
• Horario estándar Altia con flexibilidad y jornada de verano.
• Puesto estable con contrato indefinido y perspectivas de crecimiento según tus intereses profesionales.
• Plan de formación continua que te permitirá evolucionar en tu carrera profesional.
• Formarás parte de un equipo consolidado y con experiencia.
• Retribución flexible y competitiva.
  
  

¡Impulsa tu carrera con nosotros y alcanza tus metas profesionales!

¿Te ha parecido interesante? ¡inscríbete en la oferta!

#BePartOfTheGrowth

Requisitos mínimos

Buscamos a una persona autónoma, con capacidad de interlocución y atención al detalle, que aporte:

• Al menos 5 años de experiencia profesional como Data Engineer.
• Mínimo 3 años de experiencia específica con Databricks, desarrollando procesos ETL/ELT eficientes y escalables.
• Experiencia real en desarrollo e integración con Unity Catalog.
• Mantenimiento avanzado de tablas Delta Lake (optimización, particionado, patrones merge/append y dimensiones lentamente cambiantes - SCD2).
• Sólido dominio de Python, PySpark, SparkSQL y T-SQL.
• Experiencia en orquestación de flujos con Azure Data Factory.
• Experiencia integrando fuentes de datos de distintos sistemas y formatos (REST API, bases de datos relacionales, ficheros JSON, Parquet, Delta, etc.).
• Conocimientos de infraestructura y servicios cloud en Microsoft Azure.
• Certificación obligatoria Databricks (Databricks Certified Data Engineer Associate o Professional).
• Inglés nivel C1 (imprescindible para el entorno internacional del proyecto).
  
  

La presente oferta de empleo está redactada teniendo en cuenta la imparcialidad y no discriminación por razón de género, raza, ideología o cualquier otro motivo. Especialmente, se tiene en cuenta el respeto a la normativa vigente relativa a la igualdad de género entre mujeres y hombres (Real Decreto-ley 6/2019).

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de jul.

. Python Kubernetes AWS PostgreSQL Machine Learning

Straumann Group

At Straumann Group we’re on an exciting journey of growth, innovation, and impact - driven by our mission to improve oral health and transform millions of lives worldwide. United by purpose, we bring our best selves to work every day, embracing a high-performance, player-learner culture that inspires collaboration, curiosity, and ambition. Here, you’ll have the opportunity to take charge of your own career, harnessing your skills, passion, and enthusiasm for learning to continually grow and progress. Together, we’re not just shaping brighter smiles, we’re unlocking the potential of people everywhere, including our own.

About The Role

We are looking for a Senior Data Platform / Data Engineer to join our ML Platform team and help build and scale the data infrastructure that powers our AI products in dentistry. Our platform supports the full AI development lifecycle, from raw data ingestion and annotation workflows to dataset versioning and model training pipelines. You will work closely with Machine Learning Researchers (MLRs), MLOps engineers, and product teams to ensure our data infrastructure is reliable, scalable, and easy to use.

A key focus of the role is improving our Data Lakehouse (DLH) and dataset management workflows, including dataset versioning (DVC) and improving how data is prepared, extracted, and consumed across research and production systems.

What You Will Work On

You will play a key role in shaping the next generation of our data platform.

Typical Responsibilities Include

Data platform ownership

• Design and evolve the Data Lakehouse (DLH) architecture used across our ML teams.
• Improve the reliability and structure of data ingestion, extraction, and transformation pipelines.
• Ensure datasets used for training and evaluation are consistent, reproducible, and well documented.
  
  

Dataset lifecycle management

• Improve workflows for dataset versioning and reproducibility using tools such as DVC.
• Design solutions for managing multiple versions of datasets and annotations across experiments and models.
• Improve the ability for researchers to retrieve the correct dataset versions reliably.
  
  

Data pipelines and infrastructure

• Build and maintain scalable data pipelines in Python.
• Improve metadata management, dataset validation, and data quality monitoring.
• Optimize data workflows across AWS-based infrastructure.
  
  

Collaboration with ML teams

• Work closely with ML researchers and ML engineers to understand their data needs.
• Support research workflows with reliable and efficient data access patterns.
• Help translate research requirements into robust platform capabilities.
  
  

Data governance and quality

• Implement practices for data quality, reproducibility, and traceability across the ML lifecycle.
• Ensure our data infrastructure meets the requirements of regulated AI development.
  
  

Must Have

What we’re looking for:

• Strong Python engineering skills
• Experience building data pipelines or data platforms
• Experience working with AWS
• Experience working with large datasets used in ML workflows
• Strong software engineering practices (testing, CI/CD, documentation)
• Experience collaborating with ML teams or working in AI environments
  
  

Nice To Have

• Experience with dataset versioning tools such as DVC
• Experience with Kubernetes
• Experience with data lakehouse architectures
• Experience working with annotation pipelines or ML training datasets
• Experience with PostgreSQL, Metabase, or similar data tooling
• Experience working in regulated environments (medical / healthcare AI)
  
  

Our stack

• AWS
• Python
• Kubernetes
• PostgreSQL
• Metabase
• DVC for dataset versioning
• Internal Data Lakehouse infrastructure
  
  

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type: Full Time

Alternative Locations: Spain : Madrid

Travel Percentage: 0 - 10%

Requisition ID: 20071

20071