Data Engineer With English, Hibrido

Insud Pharma; Madrid; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training platform

Language learning platform

Hybrid work Madrid

Descripción de la vacante

Insud Pharma is seeking a Data Engineer / Machine Learning Engineer to join our AI Labs in Madrid. You will design, build, deploy, and operate end-to-end data and ML solutions across multiple business units, including Regulatory and R&D.

The role emphasizes productionized ML, scalable data pipelines, and strong engineering standards. Collaborate with data scientists and product owners in a hybrid office setting in central Madrid.

Formación

• Strong software engineering foundations with data pipelines and ML systems.
• Experience designing end-to-end data and machine learning solutions.
• Proficiency in Python and modern ML tooling; English and Spanish fluency.

Responsabilidades

• Design, build, and maintain scalable data pipelines for ingestion, transformation, and serving.
• Develop and productionize machine learning pipelines covering training, validation, deployment, and monitoring.
• Collaborate with Data Scientists to translate notebooks into production ML systems.
• Implement model deployment patterns (batch, real-time, hybrid) using APIs and batch jobs.
• Build feature pipelines and data abstractions for reproducible 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 via containerization and CI/CD.
• Contribute to MLOps standards across AI Labs; communicate in Spanish and English.

Conocimientos

Python

Data pipelines

ETL/ELT

REST APIs

Docker

Cloud (AWS/Azure)

MLOps

Airflow/Prefect/Dagster

CI/CD

Version control

OOP/SOLID

SQL/NoSQL

Pandas/Numpy

PyTorch/TensorFlow

Spanish & English

Herramientas

FastAPI

Flask

Airflow

Dagster

Prefect

CI/CD tooling

Descripción del empleo

Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. AI Engineers, Data Scientists, DevOps Engineers, Product Managers building the systems that power how trials get designed, how patients get recruited, and how everything gets monitored once the trial is live.

Clinical trials run on data. We are seeking a highly skilled Data Engineer / Machine Learning Engineer to join our Applied AI Team. The ideal candidate combines strong software engineering foundations with hands‑on experience in data pipelines and machine learning systems, and enjoys working at the intersection between data, models, and production systems.

As a Data Engineer / MLE at AI Labs, you will work closely with data scientists, software engineers, and product owners to design, build, deploy, and operate end-to-end data and machine learning solutions across multiple business units — including Regulatory, Clinical Trials, R&D, Pharmacovigilance, and Drug Manufacturing.

This role is critical to ensuring that AI models move reliably from experimentation to production, supported by scalable data pipelines, robust ML infrastructure, and strong engineering standards.

You will work alongside Data Scientists, AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work.

The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city.

Key Responsibilities and Skills

• 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. 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).
• Experience with containerization (Docker) and cloud environments (AWS or Azure).
• Experience with MLOps practices (model versioning, monitoring, drift detection, retraining strategies).
• Airflow, Prefect, Dagster).
• Experience with data storage systems (SQL / NoSQL databases, data lakes, object storage).
• Familiarity with ML frameworks and scientific libraries (NumPy, Pandas, Scikit‑learn, PyTorch, TensorFlow).
• Flexible start time from Monday to Friday
• Permanent contract.
• Training and language learning platform
• We will continue with an in-person/virtual interview depending on availability and what we agree upon; there may be one or two interviews in the process, and depending on the type of process, there may also be some kind of test. xqziphu
• Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

Data Engineer with English, hibrido Madrid, Provincia de Madrid, Spain