Capitole Consulting keeps growing and we want to do it with you

We have an exciting opportunity for a Data Engineer / Data Scientist with solid experience in data engineering, Machine Learning and MLOps. The role requires a hands-on and pragmatic professional capable of designing and implementing simple, effective and scalable data and ML solutions within tight deadlines.

? Responsibilities
• Design, develop and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data solutions using Databricks, Python, SQL and Apache Spark.
• Develop and support Machine Learning solutions, from data preparation to model deployment.
• Contribute to MLOps processes, including model lifecycle management, deployment, monitoring and automation.
• Process and analyze large datasets, ensuring data quality, reliability and performance.
• Collaborate with Data Scientists, Engineers, Analysts and business stakeholders.
• Quickly translate business and technical needs into pragmatic and effective solutions.

? Requirements
• Professional experience as a Data Engineer,



Data Scientist or in a similar role.
• Hands-on experience with Databricks and distributed data processing.
• Strong knowledge of Python and SQL.
• Experience with Machine Learning and implementing ML solutions.
• Knowledge and practical experience with MLOps and model lifecycle management.
• Experience building and maintaining data pipelines and ETL/ELT processes.
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset.
• Ability to implement effective solutions within tight deadlines.

✨ Nice to have
• Experience with Apache Spark / PySpark.
• Knowledge of Azure Data Factory, Delta Lake and Azure data services.
• Experience with CI/CD applied to Data and ML environments.
• Experience with model monitoring, deployment and performance optimization.
• Previous experience in international and multicultural teams.

? Languages and working model:
English: C1.
German: desirable.
100% remo

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