Data & ML Platform Engineer — Cloud, MLOps & Pipelines

NIF; Lisboa; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meal allowance

Health insurance

Bonus as per policy

Employee Assistance Program

Descripción de la vacante

NIF is seeking a Data & ML Platform Engineer to design, build and maintain the infrastructure powering our data processing pipelines and ML workflows. You will work at the intersection of data engineering, MLOps, and platform development to ensure a robust, scalable and efficient Data & AI platform.

The role requires experience in data science or data engineering, strong programming skills and hands‑on with cloud and on‑prem environments.

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• 3+ years of experience in data & ML platform engineering or similar role.
• Proficiency in Python, Go, Java, or Rust.
• Strong knowledge of containers (Docker) and orchestration (Kubernetes) in production.
• Experience with SQL and data modeling; knowledge of data warehousing and data pipelines.

Responsabilidades

• Design and implement scalable data and ML infrastructure using cloud and on‑prem technologies.
• Develop and maintain scalable data pipelines to collect, process and store large data volumes.
• Manage and optimize databases and data warehouses for performance and availability.
• Integrate data from multiple sources to create unified datasets for analysis.
• Develop self‑service tools enabling stakeholders to extract insights from data and ML models.
• Support expansion of the Data & AI Platform and ensure security & compliance.
• Implement data validation and quality assurance processes.

Conocimientos

Python

Go

Java

Rust

Educación

Bachelor’s or Master’s degree in Computer Science/Engineering

Herramientas

Docker

Kubernetes

Spark

Airflow

SQL

NoSQL

Descripción del empleo

NIF is seeking a Data & ML Platform Engineer to design, build and maintain the infrastructure powering our data processing pipelines and ML workflows. You will work at the intersection of data engineering, MLOps, and platform development to ensure a robust, scalable and efficient Data & AI platform.

The role requires experience in data science or data engineering, strong programming skills and hands‑on with cloud and on‑prem environments.