Python Developer/ Azure Data Engineer

Capitole is one of the best IT consulting companies and the place you want to be.Why?Descubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora.People in the center.We believe in a different model, more human, with the employee in the center of our company Interesting projects.Cutting-edge technologies.Agile methologies Happiness and low turnover rate €** per year training budget Flexible working hours More than 900 skilled professionals, from more than 27 nationalities Tailored career path Monthly follow-ups.360o continuous evaluation Private health insurance Flexible retribution program Wellhub: access to fitness, wellness, and mental health support Processing of the work permit for you to come to Spain with your family Technological communities Lots of amazing events Capitole keeps growing, and we want you to grow with us!We 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.The architecture and patterns are already established, so the main challenge will be to replicate and adapt existing functionalities rather than build them from scratch .What are we looking for?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 .Main responsibilities Adapt and migrate existing data management and processing capabilities into a new backend environment.Work on the upload-to-analysis chain .Implement metadata management and manipulation capabilities.Work with data upload, retrieval and deletion processes and external service integrations.Ensure the existing architecture patterns are correctly replicated and integrated.Technical environment Python · Django · Django REST Framework · MongoDB · PostgreSQL · Azure Blob Storage · AKS · pandas · NumPy · GitHub Actions · Terraform Nice to have Experience 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 Spain Conditions : Language: English (C1) / Spanish (C1).Location: FULLREMOTE.Schedule: 40h/week.Flexible.Want to know more?xbhjioe Click here and find out!See what people say about us Glassdoor Reviews Feel free to send us your profile, we are excited to meet you!The employee will adhere to information security policies: -Will have access to confidential information related to Capitole and the project they are working on.-Must comply with the security policies and internal policies of the company and the client.-Must sign an NDA.

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 . Main responsibilities Adapt and migrate existing data management and processing capabilities into a new backend environment. Work on the upload-to-analysis chain . Implement metadata management and manipulation capabilities. Work with data upload, retrieval and deletion processes and external service integrations. Ensure the existing architecture patterns are correctly replicated and integrated. Technical environment Python · Django · Django REST Framework · MongoDB · PostgreSQL · Azure Blob Storage · AKS · pandas · NumPy · GitHub Actions · Terraform Nice to have Experience 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 Spain Conditions : Language: English (C1) / Spanish (C1).

Schedule: 40h/week. Flexible. Want to know more? xbhjioe Click here and find out! See what people say about us Glassdoor Reviews Feel free to send us your profile, we are excited to meet you! The employee will adhere to information security policies: -Will have access to confidential information related to Capitole and the project they are working on. -Must comply with the security policies and internal policies of the company and the client. -Must sign an NDA.

Capitole is one of the best IT consulting companies and the place you want to be. Why? Descubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora. People in the center. We believe in a different model, more human, with the employee in the center of our company Interesting projects. Cutting-edge technologies. Agile methologies Happiness and low turnover rate €** per year training budget Flexible working hours More than 900 skilled professionals, from more than 27 nationalities Tailored career path Monthly follow-ups. 360o continuous evaluation Private health insurance Flexible retribution program Wellhub: access to fitness, wellness, and mental health support Processing of the work permit for you to come to Spain with your family Technological communities Lots of amazing events Capitole keeps growing, and we want you to grow with us! We 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. The architecture and patterns are already established, so the main challenge will be to replicate and adapt existing functionalities rather than build them from scratch .