Data Engineer & ML Engineer — Production AI Pipelines

Insud Pharma; Madrid; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Wellness platform

Language learning

Internal mobility

Unlimited psychologist sessions

Job summary

Insud Pharma's AI Labs in Madrid seeks a Data Engineer / Machine Learning Engineer to design, build, and operate end-to-end data and ML solutions across regulatory, clinical trials, R&D, pharmacovigilance, and manufacturing.

You will work with data scientists and software engineers to deploy scalable pipelines, ML models, and robust infrastructure, ensuring reliability, performance, and compliance in a fast-moving, startup-like environment.

Qualifications

• Proficient in Spanish and English, written and verbal communication.
• Strong proficiency in Python, including clean code practices, packaging, and modular design.
• Solid understanding of software engineering principles (OOP, SOLID, testing, version control).
• Hands-on experience building data pipelines (ETL/ELT) using Python-based frameworks or custom solutions.
• Experience working with machine learning workflows, including model training, evaluation, and deployment.
• Familiarity with REST APIs and service-based architectures (FastAPI, Flask, or similar).
• Strong experience with Git and collaborative development workflows.
• Experience with containerization (Docker) and cloud environments (AWS or Azure).
• Experience with MLOps practices (model versioning, monitoring, drift detection, retraining strategies).
• Familiarity with orchestration tools (Airflow, Prefect, Dagster).
• Experience with data storage systems (SQL / NoSQL databases, data lakes, object storage).
• Exposure to streaming or event-driven architectures.
• Experience deploying or operating ML systems in regulated or high-reliability environments.
• Familiarity with ML frameworks and scientific libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Interest in applied AI topics such as NLP, LLM-based systems, or scientific computing.

Responsibilities

• Design, build, and maintain scalable data pipelines for data ingestion, transformation, and serving, supporting both analytics and machine learning use cases.
• Develop and productionize machine learning pipelines, covering training, validation, deployment, and monitoring.
• Collaborate closely with Data Scientists to translate notebooks and prototypes into robust, production-ready ML systems.
• Implement model deployment patterns (batch, real-time, or hybrid) using APIs, scheduled jobs, or event-driven architectures.
• Build and maintain feature pipelines and data abstractions that enable reproducible and reliable model behavior.
• Ensure data quality, versioning, and traceability across datasets and models.
• Optimize pipelines and ML workloads for performance, scalability, and cost efficiency.
• Work with DevOps and Platform teams to deploy solutions using containerization and CI/CD best practices.
• Contribute to defining data engineering and MLOps standards across AI Labs. Participate in code reviews, documentation, and mentoring to foster a culture of engineering excellence.

Skills

Spanish

English

Python

Software engineering

Data pipelines

ML workflows

REST APIs

Git

Docker

Cloud (AWS/Azure)

MLOps

Airflow

SQL/NoSQL

Pandas/Numpy

Tools

FastAPI

Flask

TensorFlow

PyTorch

Job description

Insud Pharma's AI Labs in Madrid seeks a Data Engineer / Machine Learning Engineer to design, build, and operate end-to-end data and ML solutions across regulatory, clinical trials, R&D, pharmacovigilance, and manufacturing.

You will work with data scientists and software engineers to deploy scalable pipelines, ML models, and robust infrastructure, ensuring reliability, performance, and compliance in a fast-moving, startup-like environment.