20 publicaciones de empleo destacadas en aws cloud engineer (database) (¡Están contratando!)

Data Engineer - AWS
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- Media jornada
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Software Engineer Data Quality
Boehringer Ingelheim España, S.A. —Sant Cugat del Vallès, Barcelona provincia
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- Teletrabajo opcional
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Provectus —En remoto
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Senior Data Engineer
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- Español
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- Programa de recomendación
Senior Software Engineer
Once For All - Nalanda —Madrid, Madrid provincia
- Trabajo híbrido
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4d
Data Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
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- SQL
- AWS
- Teletrabajo opcional
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Solicitud rápida
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- Teletrabajo
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AI Platform Lead
Holcim —Madrid, Madrid provincia
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Senior AI Engineer - GenAI
IQVIA —Madrid, Madrid provincia
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Senior Software Engineer
Enfuce —Madrid, Madrid provincia
- Teletrabajo
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- Inglés
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- Días de asuntos propios
IT System Engineer - Clinical Trials
Boehringer Ingelheim España, S.A. —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Informática
- Inglés
- AWS
- Abono gimnasio
Expert Data Engineer, Research, Innovation & Labs
dsm-firmenich —Barcelona, Barcelona provincia
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Data Engineer - AWS

Capgemini -
Gaià, Barcelona provincia

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Detalles del empleo

Contrato indefinido

Beneficios

Seguro de vida
Programa de recomendación

Cualificaciones

CI/CD
DevOps
Spark
Cifrado
NoSQL
MongoDB
SQL
AWS
Docker
Machine learning
ETL
Escalabilidad
Cloud
S3
Redshift
DynamoDB
Requisitos comerciales
Inteligencia artificial
Python

Descripción completa del empleo

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

As a Data Engineer, you will play a key role in designing, building, and operating robust, scalable, and secure data platforms in AWS cloud environments. You will work closely with Analytics, Data Science, and Product teams, ensuring high‑quality data is readily available for reporting, experimentation, and advanced analytics use cases.

You will take ownership of the end‑to‑end data lifecycle, from ingestion and transformation to delivery and optimization, applying engineering best practices to ensure reliability, performance, and scalability.

Key Responsibilities

Design, develop, and optimize ETL/ELT data pipelines using Python, SQL, and Spark
Build and maintain cloud‑native data solutions leveraging AWS services such as Glue, Redshift, Athena, EMR, S3, and Lambda
Orchestrate and monitor data workflows using AWS Step Functions, Airflow, Prefect, or Dagster
Ensure data platforms meet high standards of reliability, performance, scalability, and observability
Implement and maintain CI/CD pipelines and Infrastructure‑as‑Code (IaC) practices
Collaborate with cross‑functional stakeholders to translate business requirements into scalable technical solutions
Apply and enforce data security best practices, including IAM policies, access control, and encryption
Continuously improve data architecture, tooling, and processes following industry best practices

YOUR PROFILE

You are a hands‑on, technically strong Data Engineer with proven experience working in AWS cloud‑based data platforms. You are comfortable operating at scale, enjoy solving complex data problems, and take ownership of the systems you build.
You are proactive, detail‑oriented, and motivated to deliver high‑quality data solutions that create real business impact.
Solid experience as a Data Engineer working in AWS environments
Strong proficiency in Python, SQL, and Spark for data processing and transformations
Hands‑on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda
Experience with data orchestration tools such as Step Functions, Airflow, Prefect, or Dagster
Knowledge of containerization and orchestration technologies (Docker, Kubernetes, ECS)
Familiarity with CI/CD pipelines and modern DevOps practices
Strong understanding of data security, IAM, and encryption best practices
A problem‑solving mindset, strong ownership mentality, and excellent attention to detail
Nice to have:
- GenAI expertise
- AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
- Experience with Machine Learning and AI/ML data pipelines in AWS.
- Knowledge of serverless data engineering with Lambda and API Gateway.
- Hands-on experience with NoSQL databases (DynamoDB, MongoDB, OpenSearch).

WHAT YOU'LL LOVE ABOUT WORKING HERE

Join a multicultural and inclusive team environment.
Enjoy a supportive atmosphere promoting work-life balance.
Engage in exciting national and international projects.
Hybrid work.
Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
Training and certifications programs.
Health and life insurance.
Referral program with bonuses for talent recommendations.
Great office locations.

ABOUT CAPGEMINI

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations 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 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.

Apply now!

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