Data/ML Engineer

As a Data/ML Engineer, you will be part of our team in the Data & Analytics area, contributing to the design, development, and optimization of data and machine learning solutions. You will work within agile, cross-functional teams to build high-quality, scalable pipelines and ML components that support business insights and advanced analytics.

Responsibilities

• Design and develop data and ML pipelines using Python, Scala, and cloud-native tools.
• Build and maintain robust data processing workflows using Spark and SQL.
• Implement, test, and debug ML and NLP components to ensure high-quality delivery.
• Work with large, complex, and unstructured datasets to support analytical and ML initiatives.
• Collaborate with data engineers, ML engineers, data scientists, and business teams in an agile environment.
• Leverage cloud platforms and tools such as Databricks, Azure Data Factory, and Azure ML Studio.
• Contribute to continuous improvement, knowledge sharing, and best practices adoption.
  
  

Key Requirements

• 2+ years of experience as a Data/ML Engineer in agile, cross-functional teams.
• Strong expertise in Python, Scala, ML, and NLP development.
• Solid knowledge of Spark, SQL, and cloud platforms.
• Familiarity with Databricks, Azure Data Factory, and Azure ML Studio.
• Skilled in testing, debugging, and handling large, unstructured datasets.
• Collaborative mindset, curiosity, and problem-solving orientation.
• Ability to work effectively in agile environments.
• Fluent English.
  
  

Nice to Have

• Degree or vocational training in Computer Science, Data Engineering, or related fields.
• Certifications or experience in cloud data ecosystems (Azure, AWS, GCP).
• Previous experience in ML Ops, model deployment, or data governance.
• Interest in continuous learning and emerging technologies.
• Familiarity with distributed computing environments.
  
  

What We Offer

• Permanent contract.
• Continuous training and access to official certifications.
• Work modality: Remote.
• Participation in the company’s share purchase plan from day one.
• Opportunity to work on innovative projects with major clients.
• Flexible compensation plan: childcare voucher, meal voucher, transportation card, etc.
• Life and accident insurance.
• Collaborative environment and growth-oriented culture.
• Flexible career path tailored to your goals.
• Internal knowledge communities.
  
  

Here you will find a place where you can be yourself, innovate, and grow.

A place where your voice matters, and your ideas become reality.

Sus futuros deberes y responsabilidades

Calificaciones requeridas para tener éxito en este rol

Juntos, como propietarios, transformemos nuestro conocimiento en acción.

La vida en CGI está arraigada en la propiedad, el trabajo en equipo, el respeto y la pertenencia. Aquí alcanzarás todo tu potencial porque...

Te invitamos a ser propietario de la compañía desde el primer día, mientras trabajamos juntos para hacer realidad nuestro sueño. Por eso nos llamamos asociados de CGI y no empleados. Nos beneficiamos de nuestro éxito colectivo y tenemos la oportunidad y la responsabilidad de contribuir activamente en la estrategia y dirección de nuestra compañía.

Tu trabajo crea valor. Desarrollarás soluciones innovadoras y establecerás relaciones con compañeros y clientes, al tiempo que accederás a capacidades globales para hacer realidad tus ideas, aprovechar nuevas oportunidades y beneficiarte de una amplia experiencia sectorial y conocimiento tecnológico.

Darás forma a tu carrera uniéndote a una empresa construida para crecer y durar. Contarás con el apoyo de managers que se preocupan por tu salud y bienestar y te ofrecerán oportunidades para perfeccionar tus habilidades y ampliar tus horizontes.

Únete a nosotros - una de las mayores firmas independientes de servicios TI y consultoría de negocio del mundo.

Data/ML Engineer