Ofertas de empleo para AWS

• Nivel de experiencia---
• Tipo de contratoA tiempo parcial
• PublicadaNueva

. Azure AWS Office

About us

ifeel is a unique, comprehensive, and scalable solution that uses data to provide a holistic understanding of the employees' mental well-being, inspire human growth, and guide organizations toward cultivating a positive mental well-being culture.

We impact society positively through our commitment and know-how, led by the best professionals. A challenging job to inspire & nurture a better future, every day.

What are we looking for?

We are looking for an IT Support INTERN to join our Tech Department.

This internship offers a great opportunity for a student interested in technology and systems administration to gain hands-on experience in a collaborative and international environment.

Main tasks and responsibilities:

• User support: Assist in resolving common technical issues (email, Wi-Fi, printers, VPN, video conferencing, etc.).
• Ticket management: Register and prioritize incidents, escalating when needed.
• Device management: Support in the setup, configuration, and maintenance of laptops and mobile devices.
• Systems administration: Assist in user account management, access control, and basic administration of Google Workspace, AWS, Azure, or MDM tools under supervision.
• Network and office support: Help ensure proper connectivity, equipment setup, and maintenance in the office environment.
• Documentation: Collaborate in updating guides, inventories, and the internal knowledge base.

The Ideal candidate will have:

• Currently enrolled in a FP or a Vocational Training degree in Computer Engineering, Telecommunications, Systems, Cybersecurity, or related fields.
• Interest in IT support and systems administration.
• Basic knowledge of operating systems, networking, and productivity tools (Google Workspace).
• Detail-oriented, eager to learn, and proactive.
• Intermediate English level (B2 Minimum)

Our Core Principles:

• Move the Needle: Focus on what truly drives impact. Busy work doesn't count results.
• Radical Candor: Say the hard thing with respect and hear what others say with openness.
• Own It Always: Take full responsibility-for wins, failures, and learning along the way.
• Raise the Bar: Excellence isn't just our goal; it's our standard.
• Stay Hungry: Never settle. Push for more growth, impact, and mastery but always with humility.
• We > Me mindset: Prioritize the team and company over personal gain.
• Customer Obsession: Put customers first. Anticipate needs and exceed expectations.

What do we offer?

• Remuneration: €400–500 gross per month.
• Hybrid format: office + remote.
• 20–25 hour workweek under an Internship Agreement (Monday to Friday).
• Multicultural, supportive, and dynamic work environment.
• Opportunity to learn and develop practical IT support skills in a real business context.

We highly appreciate your interest. ifeel an equal opportunity employer: all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please keep in mind that due to the high volume of applications, we will notify shortlisted candidates only.

The information you share with us will be treated confidentially and used exclusively for evaluation and selection purposes. Your resume and other related documentation, following the applicable regulation, will be stored during the recruitment process and will be deleted within two (2) years from the conclusion of the process, unless otherwise agreed. By submitting your application, you agree to the processing of your personal data in connection with this recruitment process.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada24 nov.

Teletrabajo Python Agile Azure Linux Cloud Coumputing Jira AWS Bash Big Data

Trabajarás con un stack de seguridad amplio (PrismaCloud, SonarQube, Auth0, etc.) en un entorno Agile, administrando y mejorando plataformas clave usadas a nivel corporativo. Ideal para crecer rápido en ciberseguridad técnica.

En GP DIGITAL buscamos perfiles

SECURITY CONSULTANT / Técnico de Herramientas de Seguridad

Condiciones

* Inicio: Inmediato ( Nov 2025 )
* Modalidad: Remoto ( >> desde cualquier punto de España )
* Horario: 7:30 a 15:30 ** intensivo de mañanas


Qué harás

Colaboraras con el equipo de Ciberseguridad en

* Administrar y dar soporte técnico a herramientas de seguridad.

* Instalar, configurar y actualizar plataformas (PrismaCloud, Invicti, SonarQube, Auth0...).
* Integrar aplicaciones con soluciones de terceros y configurar conectores/APIs.
* Monitorizar rendimiento y disponibilidad de las plataformas.
* Gestionar usuarios, permisos y accesos.
* Colaborar con el equipo de seguridad en cambios y mejoras.
* Documentar procedimientos y generar reportes técnicos.

Requisitos imprescindibles

* 1-3 años de experiencia en administración de herramientas de seguridad.
* conocimientos de PrismaCloud, Invicti, DefectDojo, SonarQube, SAPCVA, Auth0 (Okta).
* Experiencia con APIs y automatización (Python, Bash).
* Redes y protocolos (HTTP, HTTPS, TCP/IP).
* Bases de seguridad (OWASP, vulnerabilidades comunes).
* IAM.
* Cloud (AWS / Azure).
* SO Windows y Linux.
* Inglés minimo un nivel B2

Conocimientos Deseables

* CI/CD.
* Jira, GitHub.
* Disponibilidad para guardias a medio/largo plazo.

¿Qué es lo que le ofrecemos?

* Salario competitivo en función de la experiencia aportada
* Contrato indefinido u Opción de Contrato Mercantil

* 22 días laborables de vacaciones

* Plan de retribución flexible: Seguro médico, cheques guardería, cheques transporte

* Formación en Tecnología y Soft Skills

* Programa de referidos: 500 € por candidatos recomendados que se incorporen con nosotros

en cuanto a nosotros ... Grupo Digital
Somos un equipo de más de 150 profesionales tecnológicos, en el que encontraras proyectos estables, en los principales clientes nacionales e internacionales, desarrollando soluciones de desarrollo aplicaciones, arquitectura de sistemas, Inteligencia Artificial, Cloud, Ciberseguridad, Big Data etc..

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada24 nov.

Teletrabajo Agile TSQL Scrum Cloud Coumputing Scala Oracle AWS Spark Big Data Power BI Salesforce Office

Company Description

Talan - Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we´ve built a strong presence in the IT and consulting landscape, and we´re on track to reach €1 billion in revenue this year.

Our Core Areas of Expertise
- Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
- Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
- Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

Job Description

We are looking for a highly skilled Senior Data Engineer with strong experience in designing, building, and maintaining scalable data solutions. The ideal candidate has a deep understanding of ETL processes, big data technologies, and modern analytics platforms, and is comfortable working in fast-paced, data-driven environments.

Key Responsibilities
- Design, develop, and optimize robust ETL pipelines to support data ingestion, transformation, and processing at scale.
- Build and maintain high-performance data models to support analytics, reporting, and data science initiatives.
- Work with large-scale distributed systems and data lake architectures (Apache Hive, AWS S3, etc.).
- Ensure data quality through strong validation practices and automated testing.
- Collaborate closely with cross-functional teams to deliver secure, clean, and reliable data to downstream consumers.
- Implement and maintain CI/CD pipelines and align code to static analysis tools such as Sonar or Fortify.
- Work with BI tools and platforms (Databricks, Power BI, Starburst, etc.) to enable effective data visualization and insights.

Required Experience & Skills
- 5+ years of experience in implementing ETL pipelines.
- 3+ years of experience working with Apache Spark.
- 3+ years of hands-on experience with Scala programming.
- 2+ years of experience with BI tools (Databricks, Power BI, Starburst, or similar).
- Strong expertise in SQL and relational database systems.
- Experience designing and implementing data models for enterprise use cases.
- Familiarity with data lakes and cloud-based storage environments (Apache Hive, AWS S3).
- Strong background in data validation, unit testing, and best practices for code quality.
- Solid understanding of CI/CD principles and experience delivering high-quality code in production environments.

Qualifications

Additional Information

What do we offer you?
- Full-time contract.
- Smart Office Pack so that you can work comfortably from home.
- Training and career development.
- Benefits and perks such as private medical insurance, life insurance.
- Possibility to be part of a multicultural team and work on international projects.
- This is a remote position based in Málaga, Spain. Relocation is mandatory.
- Possibility to manage work-permits.

If you are passionate about development & tech, we want to meet you!

Talan Spain´s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company´s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 nov.

Teletrabajo . Python Azure Cloud Coumputing Git AWS Machine Learning

Job Description:

Dentsu es el grupo líder de la industria de comunicación en España tanto a nivel cualitativo como cuantitativo. Por 6º año consecutivo encabeza la posición líder en el ranking de InfoAdex y en el último informe RECMA, consiguiendo la mayor ventaja registrada en los últimos años.

En España tiene agencias destacadas como Carat (#1 ranking InfoAdex), iProspect (#3 ranking InfoAdex), dentsu X (#10 InfoAdex), dentsu Story Lab, Dentsu Creative, Merkle, Omega CRM, Evolf y otras marcas especializadas, todas ellas centradas en hacer crecer el negocio de sus clientes.

Con los mejores servicios y soluciones en medios, CXM y creatividad, dentsu pertenece a una gran red global y cuenta con más de 71.000 especialistas que operan en 120 países y regiones en todo el mundo.

¡Únete a nosotros y sé parte de una empresa que no solo lidera el mercado, sino que también se esfuerza por crear un futuro vibrante y lleno de oportunidades para todos!

https://www.dentsu.com/

https://www.dentsu.com/es/es/trabaja-con-nosotros

Senior Data Scientist & GenAI

El candidato seleccionado formará parte del equipo de AI & Transformation en Dentsu, participando en proyectos de IA e IA generativa, que incluyen análisis de datos, modelización, creación de agentes y elaboración de recomendaciones a nuestros clientes. Buscamos un perfil con sólida experiencia técnica, capaz de diseñar e implementar metodologías y algoritmos para resolver problemáticas de negocio que devuelvan valor

Funciones y responsabilidades:

• La elaboración de modelos matemáticos para medir, predecir simular y optimizar el efecto de la comunicación en los KPIs de negocio de los anunciantes.
• Diseño y definición de enfoques o soluciones que resuelvan problemáticas de negocio de clientes del grupo Dentsu a través de tecnologías basadas en algoritmos de IA.
• Elaboración y presentación de los resultados y aprendizajes obtenidos de los análisis a los anunciantes para maximizar los resultados de las marcas.
• Colaborar en el diseño y desarrollo técnico de nuevos productos y servicios que aporten valor añadido a los anunciantes.
• Investigación y aplicación de modelos Machine Learning para la creación de nuevos productos y la realización de proyectos para nuestros clientes.
• Creación de agentes y uso de LLMs para el análisis de datos, creación de insights y automatización de procesos
  
  
  

Requerimientos:

• Formación académica deseable: Grado o Máster en Matemáticas, Ingenierías, Física, Estadística u otros grados técnicos relacionados.
• Experiencia mínima de 5 años como Data Scientist y/o experiencia en proyectos de Inteligencia Artificial o Análisis de Datos. Valorable experiencia en agencias de medios y conocimientos de marketing.
• Conocimiento de Python, así como buenas prácticas de desarrollo y experiencia en Git.
• Conocimientos y experiencia en al menos una de las grandes plataformas Cloud (Azure, Google Cloud, AWS).
• Conocimientos sobre modelos supervisados y no supervisados (Regresión, Clasificación, Procesamiento Lenguaje Natural, Redes Neuronales, Series Temporales, etc.).
• Experiencia práctica en el uso de LLMs (OpenAI, Anthropic, Mistral, etc.) y frameworks como LangChain, Hugging Face Transformers, o similares.
• Conocimiento de metodologías RAG, embeddings vectoriales, bases de datos vectoriales (FAISS, Weaviate, Pinecone).
• Nivel alto de inglés (relación con equipos internacionales). Comunicación fluida en inglés, tanto oral como escrita.
  
  
  

Aptitudes y conocimientos valorados positivamente

• Proactividad, capacidad de aprendizaje y adaptación en un sector dinámico con muchas oportunidades.
• Experiencia en el sector de Marketing y Publicidad, especialmente en medición del impacto publicitario mediante modelos matemáticos.
• Capacidad de análisis, síntesis y resolución de problemas.
• Facilidad para trabajar en equipo.
• Agilidad y compromiso.
• Orientación al cliente y a la obtención de resultados.
• Excelente capacidad de comunicación con equipos multidisciplinares
  
  
  

Nuestros beneficios ✨

🌴 Vacaciones: 26 días laborables, 3 Wellness Days, día libre en tu cumpleaños 🎂, y los días 24 y 31 de diciembre libres si caen en jornada laboral 🎉

⏰ Horario flexible

🌞 Jornada intensiva en verano (del 15 de junio al 15 de septiembre)

🏡 Política híbrida de teletrabajo

📚 Desarrollo profesional a través de la plataforma Dentsu University

💰 Paquete de compensación atractivo

🧾 Acceso al sistema de retribución flexible (Seguro médico 🏥, Tickets Restaurant 🍽️, Tarjeta transporte 🚇, Cheque guardería 👶, Formación específica 🎓…)

🤝 Programa de Asistencia al Empleado

💚 2 días de voluntariado, en línea con nuestro compromiso con la responsabilidad corporativa y el impacto social

😊 Excelente ambiente de trabajo

🏆 Hemos conseguido la acreditación de Empresa Top Employer en 2024 y 2025 y la certificación Happy Trainees en 2025. ¡Ambos premios reconocen a Dentsu como una gran marca empleadora!

Inclusión y Diversidad

En Dentsu, valoramos la diversidad y fomentamos un entorno inclusivo donde cada talento puede prosperar. Nos enorgullece ser reconocidos por nuestra estrategia de sostenibilidad y nuestro compromiso con la innovación y el impacto positivo en la comunidad. Nuestra ambición es construir una sociedad justa y más igualitaria. Es por eso por lo que, alentamos las solicitudes de personas con discapacidad, de todas las edades, nacionalidades, orígenes y culturas. Dentsu está comprometida con la igualdad de oportunidades entre hombres y mujeres.

Location:

Madrid

Brand:

Carat

Time Type:

Full time

Contract Type:

Permanent

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 nov.

. TSQL Git AWS DevOps Terraform

En Serem buscamos un/a AI Platform Engineer para contratación directa en importante cliente ubicado en Barcelona. La modalidad de trabajo es remoto 100 , por lo que se aceptan candidaturas ubicadas en otras provincias.

Se Requiere

Estamos buscando un Ingeniero de Plataforma de IA práctico para diseñar, construir y operar plataformas de datos e IA basadas en Databricks en AWS. Mejorarás las capacidades de IA aprovechando Databricks (Workspace, Unity Catalog, Lakehouse, MLflow), servicios modernos en la nube y prácticas de DevOps/MLOps para ofrecer plataformas confiables, seguras y escalables.

Experiencia avanzada en operaciones en la nube en AWS, con un fuerte entendimiento de la escalabilidad de la infraestructura y la optimización de costo/rendimiento.

Experiencia práctica demostrable con Databricks en AWS: administración de workspace, gestión de clústeres y pools, orquestación de trabajos (Jobs/Workflows), repositorios, secretos e integraciones.

Amplia experiencia con Databricks Unity Catalog: configuración de metastore, catálogos/esquemas, linaje de datos, control de acceso (ACLs, permisos), control de acceso basado en atributos y gobernanza de datos.

Experto en Infraestructura como Código para Databricks y AWS usando Terraform (proveedores de databricks y aws) y/o AWS CloudFormation experiencia con paquetes de activos de Databricks o CLI es un plus.

Experiencia implementando CI/CD y GitOps para notebooks, trabajos y activos de ML utilizando GitHub y GitHub Actions (o GitLab/Jenkins), incluyendo pruebas automatizadas y promoción entre workspaces.

Habilidad para estructurar bibliotecas reutilizables, empaquetar y versionar código, y aplicar control de calidad mediante pruebas unitarias/integración y linting. Dominio de SQL para el desarrollo en Lakehouse.

Seguimiento de experimentos, registro de modelos, versionado de modelos, puertas de aprobación y despliegue a endpoints por lotes/tiempo real (Model Serving).

AWS IAM/STS, PrivateLink/VPC, cifrado KMS, Secrets, aprovisionamiento SSO/SCIM y monitoreo/observabilidad (CloudWatch/Datadog/Grafana).

Experiencia con prácticas de DevOps para habilitar estrategias de automatización y reducir operaciones manuales.

Experiencia o conocimiento de prácticas MLOps construir pipelines para acelerar y automatizar el aprendizaje automático será considerado positivamente.

Nivel de inglés hablado fluido B2-C1 (obligatorio).

ML, AI, Git, Databricks

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 nov.

Teletrabajo Python Docker Cloud Coumputing Kubernetes Ansible Git AWS DevOps Terraform Kafka Office

Role description

We are looking for the very Top Talent...and we would be delighted if you were to join our team!

More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

What we look for?

We are looking for a DevSecOps Engineer to join our team and work with one of our clients in the banking sector.

Work location: Málaga

Work mode: Hybrid (3 days working in the office, 2 days from home).

Timetable: M-F from 09:00 to 18:00

Key Responsibilities
• Promoting engineering excellence through automation, collaboration, and standardization to accelerate delivery and enhance customer value.
• The position is responsible for designing and maintaining CI/CD pipelines that ensure security, quality, and compliance across all software releases.
• It involves developing testing frameworks and providing Testing as a Service to support product teams.
• Key responsibilities include managing and optimizing Kubernetes clusters, implementing cloud automation on AWS, and supporting cloud migration and event-driven architectures with Kafka.

The DevOps Engineer will also contribute to infrastructure as code, continuous monitoring, and problem resolution to reduce downtime and improve system reliability.

Required Qualifications
• English B2+/C1
• The role requires strong experience with Git, Terraform, Ansible, Docker, Kubernetes and Python, along with a solid understanding of networking, monitoring tools, and security best practices.
• Collaboration with cross-functional teams is essential to drive continuous improvement, operational efficiency, and engineering innovation.

¿What can we offer?

- 23 days of Annual Leave plus the 24th and 31st of December as discretionary days!

- Numerous benefits (Heath Care Plan, Internet Connectivity, Life and Accident Insurances).

- `Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Heath Care Plan...)

- Free access to several training platforms

- Professional stability and career plans

- UST also, compensates referrals from which you could benefit when you refer professionals.

- The option to pick between 12 or 14 payments along the year.

- Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime...)

- UST Club Platform discounts and gym Access discounts

If you would like to know more, do not hesitate to apply and we´ll get in touch to fill you in details. UST is waiting for you!

In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.

#UST

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 nov.

Python TSQL Azure Docker Cloud Coumputing Kubernetes Git AWS Spark Machine Learning Power BI Tableau

Additional Locations: France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; United Kingdom-Hemel Hempstead

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we´ll give you the opportunity to harness all that´s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we´ll help you in advancing your skills and career. Here, you´ll be supported in progressing - whatever your ambitions.

A Day in the Life of the EMEA Data Scientist:

You will spend most of your time (60%) focused on MLOps and model deployment, and (40%) on data science and model development. You will work across the entire ML lifecycle-from building and maintaining pipelines to deploying and monitoring models, exploring data, and developing machine learning solutions. As a well-rounded ML practitioner, you will balance engineering and data science. As you collaborate with your peers, you will learn and continually improve your work.

You will work with businesses to understand their data needs and translate those into data structures and model requirements. You will define standards for monitoring data model integrity during projects and lead data modeling and testing. Additionally, you conduct quality assurance on analytics tools and methods used. You will apply expertise in machine learning, data mining, and information retrieval to design, prototype, and develop next-generation analytics. You will develop best practices for analytics, including models, standards, and tools. Furthermore, you will have metrics to assess the impact of analytics on the business.

The role:

This role, reporting directly to the EMEA AI Development & BI Manager, is a great opportunity for technical talents passionate about driving meaningful innovation for our business.

Key Responsibilities:

- Data Engineering:
- Build and maintain data pipelines for structured and unstructured data.
- Work with SQL/NoSQL databases and data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Ensure data quality, integrity, and availability.
- Data Science:
- Explore, clean, and analyze datasets to derive insights.
- Train, evaluate, and fine-tune machine learning models.
- Assist in developing proof-of-concepts and production-ready ML solutions.
- MLOps:
- Support deployment of ML models into production (batch and real-time).
- Implement model monitoring, retraining, and CI/CD workflows.
- Work with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

What you will need:

- Bachelor´s or Master´s in Computer Science, Data Science, Engineering, or related field.
- 4-5 years of professional experience in data science, data engineering, or MLOps.
- Strong programming skills in Python (pandas, scikit-learn, PySpark preferred).
- Experience with SQL and familiarity with database design.
- Exposure to cloud platforms (AWS, GCP, or Azure).
- Knowledge of ML lifecycle tools (MLflow, Kubeflow, Airflow, Prefect, etc.).
- Familiarity with Git, CI/CD pipelines, and containerization (Docker, Kubernetes).
- Good problem-solving skills and eagerness to learn new technologies.

Nice to Have:
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch).
- Experience with data visualization tools (Tableau, Power BI, or Looker).
- Knowledge of distributed computing frameworks (Spark, Dask).
- Prior internship or project work in MLOps.

What do we offer:
- A compelling career opportunity to lead impactful, innovative initiatives within the EMEA region.
- Opportunity to work on end-to-end data projects.
- Mentorship from senior data scientists and engineers.
- A collaborative, learning-focused environment.
- A coaching culture environment focusing on your success and development!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 nov.

Python TSQL Azure Cloud Coumputing REST AWS DevOps Terraform Spark Office

Additional Locations: France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we´ll give you the opportunity to harness all that´s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we´ll help you in advancing your skills and career. Here, you´ll be supported in progressing - whatever your ambitions.

A Day in the Life of the EMEA Data Platform Engineer:

You´ll start your day by scanning platform health dashboards, pipeline success rates, latency, cost and capacity signals, SLO attainment, and data quality alerts, then action the highest-value improvements. You´ll partner with data product managers & owners, data engineers, AI engineers, data scientists, and application teams to turn business needs into robust, reusable platform capabilities.

When EMEA-specific constraints (e.g., GDPR) surface, you´ll collaborate with Security, Legal, and Governance to design compliant patterns without slowing delivery. Working closely with the Global team, you´ll ship infrastructure-as-code, automate CI/CD for data workloads, and harden security so teams can build safely by default.

Throughout the week, you´ll evolve ingestion and processing frameworks (batch, micro-batch, streaming), improve observability (logging, tracing, lineage), and coach teams on using the platform´s self-service tooling and catalog. You´ll run blameless incident reviews, remove toil, and continuously raise reliability, performance, and cost efficiency.

Each month, you´ll contribute to global architecture forums to converge standards, reuse patterns, and ensure EMEA requirements are reflected in the enterprise roadmap.

The role:
Reporting to the Data Engineering & Platform Manager, the Data Platform Engineer builds and operates the cloud data platforms that powers analytics, AI, and operational data products across the region. You will design secure, scalable, and observable platform services (compute, storage, processing, orchestration, quality, lineage, access), deliver them as well-documented, reusable capabilities, and support teams in adopting them at scale. Success requires deep engineering craft, platform thinking, and close collaboration across product, architecture, and governance.

Key Responsibilities:
- Platform engineering & operations: Design, build, and operate cloud data platforms components (lake/lakehouse, warehouses, streaming, orchestration, catalogs) with strong SLIs/SLOs, automated recovery, and capacity planning.
- Pipelines & frameworks: Provide reusable templates and libraries for ELT/ETL, CDC, and streaming, standardize patterns for schema evolution, testing, and deployments across domains.
- Security & compliance by design: Implement least-privilege IAM, key management, encryption in transit/at rest, network segmentation, and data classification, ensure GDPR/data residency adherence with auditable controls.
- Observability & quality: Instrument end-to-end telemetry (logs/metrics/traces), lineage, and data quality checks, build dashboards and alerts to prevent regressions and reduce MTTD/MTTR.
- Automation & IaC: Deliver platform resources with infrastructure-as-code, enable Git-based workflows, CI/CD for data workloads, and policy-as-code guardrails.
- Cost efficiency: Monitor and optimize spend across compute/storage, set budgets and alerts, recommend right-sizing, workload scheduling, and caching/format strategies.
- Collaboration & enablement: Document platform capabilities, publish examples and runbooks, and provide office hours/community support to drive safe self-service adoption.
- Incident & change management: Lead RCAs, prioritize preventative engineering and change controls.
- Standards & reusability: Contribute to reference architectures and shared components, champion interoperability (contracts, semantics) with architecture and governance peers.
- Global alignment: Partner with global platform, product, and security teams to align roadmaps, share learnings, and represent EMEA needs.

What you will need:
- Bachelor´s in computer science, Engineering, or related field.
- 5-8+ years in data engineering/platform engineering with production experience in cloud data stacks, with a strong focus on Snowflake, Data Cloud and AWS as primary platforms. Experience with Informatica, dbt, and Azure is highly valued.
- Proficiency in Python and SQL, strong grasp of distributed data processing (e.g., Spark on AWS EMR) and storage formats (Parquet/Delta/Iceberg).
- Hands-on with Infrastructure as Code (e.g., Terraform), CI/CD (e.g., GitHub Actions/Azure DevOps), containers/orchestrators (e.g., Docker/Kubernetes), and job schedulers (e.g., Airflow/ADF).
- Solid security engineering across AWS and Snowflake: IAM, secrets, encryption, and policy-as-code.
- Observability mindset: metrics, tracing, logging, lineage, and data quality frameworks, ideally leveraging platform-native tools (e.g., AWS CloudWatch, Snowflake monitoring, Informatica data quality, dbt tests).
- Working knowledge of governance and privacy (GDPR), retention, and access models, especially as implemented in Snowflake, AWS, and Azure.
- Excellent communication and collaboration skills across product, engineering, and non-technical stakeholders. Experience in medtech/pharma/consulting is a plus.

What do you offer:
- An ownership mentality for reliability, performance, and cost, and the curiosity to automate everything that repeats.
- Pragmatic engineering instincts: you ship secure, simple, and well-tested solutions that scale.
- A passion for enabling others through great developer experience, documentation, and coaching.
- Continuous learning in Data & AI platform capabilities (semantic layers, streaming, GenAI-assisted tooling) and how to apply them responsibly.

What do we offer:
- A chance to shape the EMEA data platform foundations and set enterprise-wide standards.
- A collaborative, global network and supportive coaching culture focused on your growth.
- Opportunities to lead high-impact initiatives that accelerate analytics and AI adoption across diverse markets.
- A coaching culture environment focusing on your success and development!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 nov.

. TSQL Azure Jira AWS DevOps

¿Te gustaría ser el/la héroe/heroína silencioso/a que hace que miles de reservas salgan perfectas sin que nadie note el caos evitado?

¿Qué harás como Technical Support GRS - eDistribution?

Serás la persona clave que conecta a los usuarios, el equipo de producto y los proveedores tecnológicos en torno a nuestro sistema GRS (sí, el cerebro que gestiona reservas y facturación global).

Tu día a día será como un Tetris bien jugado: Resolverás incidencias, coordinarás mejoras, probarás nuevas funcionalidades,

Y estarás ahí cuando alguien necesite respuestas... o simplemente tranquilidad.

Algunas de tus misiones (sin capa, pero con mucho impacto):

• Detectar y clasificar incidencias como quien resuelve misterios.
• Mantener a los usuarios informados sin jerga técnica, pero con precisión quirúrgica.
• Colaborar con proveedores y asegurarte de que cumplan lo prometido (¡y bien hecho!).
• Probar nuevas versiones del sistema antes de que vean la luz.
• Documentar, mejorar, proponer, ¡y repetir!
  
  

Lo Que Nos Encantaría Ver En Ti

• Formación técnica: informática, sistemas, o similares.
• Experiencia dando soporte técnico (si es en sistemas de reservas, ¡aún mejor!).
• Conocimientos básicos de SQL, APIs (SOAP/REST) y algo de nube (Azure o AWS).
• Si te llevas bien con Jira o Azure DevOps, te vamos a querer mucho.
• Inglés nivel B2 (no hace falta acento británico, pero sí soltura).
• Y sobre todo: buena comunicación, actitud positiva y ganas de mejorar las cosas.
  
  

¿Qué te ofrecemos?

• Ubicación: Palma de Mallorca.
• Modalidad: Semipresencial (un pie en la oficina, otro en tus zapatillas de casa).
• Horario: Oficina.
• Un proyecto estable, donde todo lo que haces tiene impacto.
• Donde lo técnico importa, pero lo humano más.
• Y sí, aquí tus ideas no se guardan en un cajón.
  
  

Tú haces que funcione, juntos lo celebramos. ¡Te esperamos!