Position: Data Engineer – MLE – Clinical Trials
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We need a Data Engineer / Machine Learning Engineer who can turn raw clinical trial data into reliable, production‑grade systems that support trial design, patient recruitment, and real‑time monitoring. You will work closely with data scientists, software engineers, and product owners to build scalable pipelines that run under high load and real patient data.

How the team works

AI Labs operates with a startup mindset within Insud Pharma. The team is flat, collaborative, and fast‑moving. We hold regular demo days and whiteboard sessions, and work in small cross‑functional groups that iterate quickly and deliver visible results from day one. The office is located in central Madrid.

Responsibilities

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- Collaborate with small, cross‑functional teams—Product Manager, Data Scientist, Engineer, and key stakeholders—to deliver visible outcomes quickly.

- Design, build, and maintain scalable data pipelines for ingestion, transformation, and serving, supporting both analytics and machine learning use cases.

- Develop and productionize machine learning pipelines, covering training, validation, deployment, and monitoring.

- Translate notebooks and prototypes into robust, production‑ready machine learning 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, and mentor junior team members.

Qualifications

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- Proficient in Spanish and English, both written and verbal.

- Strong proficiency in Python, with experience in 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 frameworks or custom solutions.

- Experience 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 such as model versioning, monitoring, drift detection, and 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.

Benefits

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- Adaptable start time from Monday to Friday.

- Training and language learning platform.

- Wellness platform with unlimited free psychologist sessions.

- Development plans and internal mobility policy. xhfqzwm

COMMITMENT TO EQUAL OPPORTUNITIES

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. 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.

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📌 Data Engineer – Clinical Trials (Madrid)
🏢 Insud Pharma
📍 Madrid