Data Ops Engineer

Admiral Europe Tech; Andalucía; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology firm in Andalucía is seeking an experienced candidate to manage and enhance the data platform. Responsibilities include configuring security patches, deploying delivery pipelines, and collaborating with key stakeholders to ensure efficient operation and quality of the platform. The ideal candidate will demonstrate agility and a strong capability to work with cross-functional teams.

Responsabilidades

• Maintain an agile mindset every day.
• Interact with security, networking, and platform teams.
• Deploy the pipeline to ensure high quality and efficiency.
• Monitor the target architecture with the Data Architect.
• Communicate with Scrum Master for impediments.
• Work closely with data scientists to operationalize ML models.
• Collaborate with Product Owner and Scrum Master.
• Participate in team and train ceremonies.

Descripción del empleo

Role Description

Configure/maintain/apply security patches to the infrastructure on which the data platform is based, ensure the deployment and the CI/CD of the data or ML delivery. Monitor the performance of the data pipeline and/or the ML models.

Key Objectives

• Implement and configure the tools needed to access our data and manipulate it
• apply security patches to the different infrastructural components
• Work with the Data Architect to ensure development is aligned with the target architecture.
• Develop and deploy the delivery pipelines involved in the Data Platform .
• Operationalize the ML models within the Data Platform.
• Maintain and monitor the different environments for each country.

Main Responsibilities

• Maintain an agile mindset every day.
• Interact with security, networking and platform teams to have a secure infrastructure and guarantee a stable environment to the stakeholders
• deployment of the pipeline to ensure high quality and efficiency of the release process and also in the productive environment.
• They work closely with the Data Architect to monitor the target architecture.
• Communicate with Scrum Master to escalate impediments or improvement for the wagon.
• They work closely with the data scientist to operationalize the ML models within the Data Platform.
• They work closely with the Product Owner and Scrum Master to execute the task assigned to achieve the goal of the wagon.
• You will participate in team and train ceremonies: PI planning, Sprint planning, Retrospectives, Daily scrum or stand up meetings.