Python Developer/ Azure Data Engineer

Capitole is one of the best IT consulting companies and the place you want to be.We believe in a different model, more human, with the employee in the center of our companyUsted podría ser el solicitante perfecto para este trabajo.Lea toda la información asociada y asegúrese de presentar su candidatura.Interesting projects.Cutting-edge technologies.Agile methologies** per year training budgetFlexible working hoursMore than 900 skilled professionals, from more than 27 nationalitiesPrivate health insuranceWellhub: access to fitness, wellness, and mental health supportProcessing of the work permit for you to come to Spain with your familyLots of amazing eventsWe are looking for an Azure Data Engineer to join an international project focused on data management and processing within an Azure-based environment.The role is mainly focused on adaptation and migration, implementing existing Data Area capabilities into another backend environment.Strong experience with Python 3.11+ .Solid experience with Django and Django REST Framework .Experience with MongoDB, ideally MongoDB Atlas.Experience designing and integrating REST APIs and external data services.Data processing experience with pandas and NumPy .Testing with pytest .Experience with Git-based workflows, code reviews, Jira and Confluence .Experience working in Azure environments .Adapt and migrate existing data management and processing capabilities into a new backend environment.Work on the upload-to-analysis chain .Work with data upload, retrieval and deletion processes and external service integrations.xqysrnhPython · Django · Django REST Framework · MongoDB · PostgreSQL · Azure Blob Storage · AKS · pandas · NumPy · GitHub Actions · TerraformExperience with Azure Data Factory, Databricks and Spark/PySpark .Knowledge of measurement data formats such as ASAM MDF .Basic TypeScript knowledge for small UI adjustments.100% remote from SpainLanguage: English (C1) / Spanish (C1).The employee will adhere to information security policies:-Will have access to confidential information related to Capitole and the project they are working on.-

Solid experience with Django and Django REST Framework . Experience with MongoDB, ideally MongoDB Atlas.Experience designing and integrating REST APIs and external data services.Data processing experience with pandas and NumPy . Testing with pytest . Experience with Git-based workflows, code reviews, Jira and Confluence . Experience working in Azure environments . Adapt and migrate existing data management and processing capabilities into a new backend environment.Work on the upload-to-analysis chain . Work with data upload, retrieval and deletion processes and external service integrations. xqysrnhPython · Django · Django REST Framework · MongoDB · PostgreSQL · Azure Blob Storage · AKS · pandas · NumPy · GitHub Actions · TerraformExperience with Azure Data Factory, Databricks and Spark/PySpark . Knowledge of measurement data formats such as ASAM MDF . Basic TypeScript knowledge for small UI adjustments.100% remote from SpainLanguage: English (C1) / Spanish (C1). The employee will adhere to information security policies:-Will have access to confidential information related to Capitole and the project they are working on.

Capitole is one of the best IT consulting companies and the place you want to be. We believe in a different model, more human, with the employee in the center of our companyUsted podría ser el solicitante perfecto para este trabajo. Lea toda la información asociada y asegúrese de presentar su candidatura.Interesting projects. Cutting-edge technologies. Agile methologies** per year training budgetFlexible working hoursMore than 900 skilled professionals, from more than 27 nationalitiesPrivate health insuranceWellhub: access to fitness, wellness, and mental health supportProcessing of the work permit for you to come to Spain with your familyLots of amazing eventsWe are looking for an Azure Data Engineer to join an international project focused on data management and processing within an Azure-based environment.The role is mainly focused on adaptation and migration, implementing existing Data Area capabilities into another backend environment.