Capitole Consulting keeps growing and we want to do it with youWe have an exciting opportunity fora Data Engineer / Data Scientistwith solid experience indata engineering, Machine LearningandMLOps. The role requires ahands-onand pragmatic professional capable of designing and implementing simple, effective and scalable data and ML solutions within tight deadlines.Design, develop and maintain scalabledata pipelines and ETL/ELT processes .Build and optimize data solutions usingDatabricks, Python, SQL and Apache Spark .Develop and supportMachine Learning solutions, from data preparation to model deployment.Contribute toMLOps processes, including model lifecycle management, deployment, monitoring and automation.Process and analyze large datasets, ensuringdata quality, reliability and performance .Collaborate with Data Scientists, Engineers, Analysts and business stakeholders.Quickly translate business and technical needs into pragmatic and effective solutions.Professional experience as aData Engineer,



Data Scientistor in a similar role.Hands-on experiencewithDatabricks and distributed data processing .Strong knowledge ofPython and SQL .Experience withMachine Learningand implementing ML solutions.Knowledge and practical experience withMLOps and model lifecycle management .Experience building and maintainingdata pipelines and ETL/ELT processes .Strong problem-solving skills and a pragmatic, delivery-oriented mindset.Ability to implement effective solutions within tight deadlines.Experience withApache Spark / PySpark .Knowledge ofAzure Data Factory, Delta Lake and Azure data services .Experience withCI/CDapplied to Data and ML environments.Experience withmodel monitoring, deployment and performance optimization .Previous experience in international and multicultural teams.Languages and working model:100% remote .We're great, but with you we'll be even betterGFor this you will have:Budget of 1.200€ in individual training for you to use it in whatever you want (technological

📌 Data Engineer/Scientist (Madrid)
🏢 Capitole
📍 Madrid