Data/ML Engineer

CGI; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading data services company in Spain is seeking a Data/ML Engineer to design and develop scalable pipelines and machine learning solutions. The ideal candidate will have at least 2 years of experience in data engineering, strong expertise in Python and Scala, and a collaborative mindset. This position offers a permanent contract, continuous training, and a remote work modality. Join a culture that values innovation and personal growth while working with major clients on cutting-edge projects.

Servicios

Continuous training and access to official certifications

Flexible compensation plan with childcare and meal vouchers

Life and accident insurance

Participation in share purchase plan

Formación

• 2+ years of experience as a Data/ML Engineer in agile environments.
• Strong expertise in Python, Scala, ML, and NLP development.
• Solid knowledge of Spark and SQL.

Responsabilidades

• Design and develop data and ML pipelines using Python and Scala.
• Implement, test, and debug ML and NLP components.
• Collaborate with cross-functional teams in an agile environment.

Conocimientos

Python

Scala

Machine Learning (ML)

Natural Language Processing (NLP)

Spark

SQL

Agile methodologies

English (Fluent)

Educación

Degree or vocational training in Computer Science or related fields

Herramientas

Databricks

Azure Data Factory

Azure ML Studio

Descripción del empleo

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.

Data/ML Engineer