14 publicaciones de empleo destacadas de engineer databricks en madrid, md (¡Están contratando!)

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- Azure
- DevOps
- Oficina
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- Teletrabajo
- Informática
- AWS
- Oportunidades de crecimiento y desarrollo profesional
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- Azure
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- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
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- Trabajo híbrido
- Azure
- Inglés
- Oficina
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- SQL
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- Jornada completa
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Solicitud rápida
1d
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Senior Manager Data & AI
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- Máster
Lead AI Architect, Madrid (M, ES)
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- Java
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2d
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Azure Data Architect
Kenos Technology —Madrid, Madrid provincia
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- DevOps
- Inglés
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- Oportunidades de crecimiento y desarrollo profesional
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Salesforce —Madrid, Madrid provincia
- Jornada completa
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- Azure
- Informática
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Data Solution Architect

Capgemini -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Contrato indefinido

Cualificaciones

Azure
Big data
DevOps
Estructura de datos
Spark
NoSQL
PaaS
SQL
AWS
Grado
Machine learning
ETL
Escalabilidad
Agile
Cloud
Requisitos comerciales
Hadoop

Descripción completa del empleo

About the job you are considering

Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and cross many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions.

The Data Solution Architect plays a pivotal role in designing, implementing, and optimizing data-driven solutions that empower organizations to make informed decisions. This position bridges business requirements and technical execution, ensuring that data architectures are robust, scalable, and aligned with strategic objectives.

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role

We are seeking an experienced Data Solution Architect to design and implement data-driven solutions using a variety of cloud platforms and cutting-edge technologies. The ideal candidate will have a strong background in cloud computing, data architecture, and solution architecture, with hands-on experience in cloud platforms such as Snowflake, Azure, AWS, GCP, and Databricks.

Develop comprehensive data architectures and solutions that address business needs, integrating diverse data sources and platforms.
Collaborate with stakeholders to translate business requirements into technical specifications.
Expertise in data modeling, relational and non-relational databases, and cloud data platforms (e.g., Azure, AWS, Google Cloud).
Create comprehensive solution architectures that integrate data architecture, technology, and databases for optimal performance and scalability.
Work closely with stakeholders to translate business requirements into technical solutions.
Develop architecture designs for cloud-based services, including PaaS and App Services.
Proficiency in data integration tools, ETL frameworks, and big data technologies (e.g., Spark, Hadoop).
Implement data governance frameworks in alignment with ITIL standards and best practices.
Oversee the development and implementation of data integration strategies across different systems and platforms.
Excellent communication and presentation abilities.
Strong problem-solving skills and a collaborative mindset.
Ability to manage multiple projects and priorities in a fast-paced environment.

Your Skills and Experience

Data Pipeline: Expertise in designing and managing data pipelines across diverse cloud environments.
Bachelor's degree in data science, Analytics, Business, or related field. Advanced degrees or certifications are a plus.
Certifications in cloud architecture or data engineering (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer).
Experience with machine learning, advanced analytics, or business intelligence platforms.
Familiarity with agile methodologies and DevOps practices.
Data Architecture: Deep knowledge of IT databases, data structures, and architecture principles.
Databases: Proficiency in SQL and NoSQL databases.

Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com

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