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, * 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. #LI-CH3

• 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., * Azure Data Factory

• English

• Python

• Scala

• Spanish