Amazon Web Services (AWS)

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Amazon Web Services (AWS): the undisputed king of cloud computing, launched in 2006 and never looked back. It competes with Google Cloud Platform, Microsoft Azure, and a bunch
of smaller players you’ve never heard of. AWS’s key differentiator? Scale. It’s everywhere, from startups to Fortune 500s, and it’s got more services than you can shake a stick
at.

With AWS, you can spin up servers, databases, and AI models in minutes, all while paying only for what you use. It’s the go-to for companies that want to scale fast and don’t
mind a bit of complexity. But beware: AWS’s pricing is like a choose-your-own-adventure book, and you might end up in the wrong chapter if you’re not careful. Still, with its
global reach, endless services, and a community that’s bigger than most countries, AWS is the cloud for those who want it all. Just don’t forget to set up your billing alerts.

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Jobs in using Amazon Web Services (AWS) for but please no

data scientist

Data Scientist @ easports

ES | 2025-12-26
EA’s Sports Security Data role in Madrid places a data scientist at the heart of fair play: turn game-behavior data into automated alerts, metrics, and models that detect fraud and anomalous... read more »
AI/ML, Analytics, SQL, NoSQL, Python, DataViz, Tableau, Looker, Matplotlib, Big Data, Hadoop, Spark, Splunk, Cloud Computing, AWS, GCP, Azure, Data Engineering
data scientist

Consultor/a Senior - AI Engineer @ kpmg-espana

ES | 2025-12-26
Senior AI Developer at KPMG Lighthouse in Madrid, tasked with building generative AI solutions from architecture to production and stitching language models into enterprise systems. The role... read more »
Analytics, AI/ML, LLM, Cloud Computing, MLOps, Python, API, PyTorch, TensorFlow, Azure, AWS, GCP
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

Learn More
data scientist

(00513) 00513-DATA SCIENTIST @ verti-seguros

ES | 2025-12-24
VERTI’s MLOPS posting reads as a production-minded ML engineer slot with a whiff of enterprise architect. The core is designing analytic solutions and training and productionizing ML and... read more »
MLOps, AI/ML, Python, PySpark, SQL, Cloud Computing, AWS, CI/CD, Git, Airflow, Jenkins, NLP
data scientist

Data Scientist @ caf-mobility

ES | 2025-12-23
This role involves designing and deploying AI and analytics solutions with a focus on machine learning, deep learning, and data pipelines, making it a technical analyst position. The standout... read more »
AI/ML, RNNs, Cloud Computing, Databricks, AWS, S3, Amazon EMR, AWS Lambda, Amazon SageMaker, Python, PySpark, Big Data, NumPy, Pandas, PyTorch, TensorFlow, API
data scientist

Data Technical Expert (IA) - Híbrido Málaga @ ustglobal

ES | 2025-12-23
The role involves providing technical leadership in data and AI, designing and deploying complex data platforms, pipelines, and models, with a notable emphasis on architecture and best practices.... read more »
AI/ML, Cloud Computing, Big Data, Data Streaming, MLOps, Python, SQL, Scala, Java, R, AWS, Azure, GCP, Spark, Databricks, Hadoop, Kafka, Airflow, Trino, NoSQL, Docker, Kubernetes, CI/CD, IaC