Data Engineer/Scientist
Hace 16 horas
VitoriaGasteiz, País Vasco, España
Capitole
Jornada completa
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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.
* 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.
* 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.
* 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: 100% remote. We're great, but with you we'll be even better GFor this you will have:
* Budget of 1.200€ in individual training for you to use it in whatever you want (technological events, books, trainings, certifications, etc.).
* Follow-up with your team every month for continuous feedback.
* Teleworking.
* Flexible
working hours
to help you reconcile your professional / family life.
* Private medical insurance paid in full by Capitole.
* Flexible remuneration (restaurant tickets, transport and/or childcare).
* Discounts on major brands for employees (Club Capitole). Get to know the whole family
* Team Buildings every two months
- don't miss the summer party or the Christmas dinner
* Football team sponsored by Capitole.
* Technological communities for you to share your knowledge and ideas with the other teams, sharing internal knowledge is essential
* Last but not least, a TEAM Don't you know us yet? Discover us https://capitole-consulting.com/ See what people are saying
about us
https://capitole-consulting.com/ https://www.glassdoor.es/Opiniones/Capitole-Consulting-Opiniones-E2060890.html 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. #J-18808-Ljbffr
* 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.
* 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.
* 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: 100% remote. We're great, but with you we'll be even better GFor this you will have:
* Budget of 1.200€ in individual training for you to use it in whatever you want (technological events, books, trainings, certifications, etc.).
* Follow-up with your team every month for continuous feedback.
* Teleworking.
* Flexible
working hours
to help you reconcile your professional / family life.
* Private medical insurance paid in full by Capitole.
* Flexible remuneration (restaurant tickets, transport and/or childcare).
* Discounts on major brands for employees (Club Capitole). Get to know the whole family
* Team Buildings every two months
- don't miss the summer party or the Christmas dinner
* Football team sponsored by Capitole.
* Technological communities for you to share your knowledge and ideas with the other teams, sharing internal knowledge is essential
* Last but not least, a TEAM Don't you know us yet? Discover us https://capitole-consulting.com/ See what people are saying
about us
https://capitole-consulting.com/ https://www.glassdoor.es/Opiniones/Capitole-Consulting-Opiniones-E2060890.html 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. #J-18808-Ljbffr