DATA MANAGEMENT ENGINEER TRAINEE

Posted 13 Days Ago
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Sant Feliu de Llobregat, Barcelona, Cataluña, ESP
In-Office
Entry level
Pharmaceutical
The Role
Supports data modeling, schema development, ingestion pipelines, and laboratory data processing within an R&D LIMS. The role involves integrating chemical and biochemical assay data, monitoring data workflows, and collaborating with chemistry, biology, IT, and data science teams. Candidates should have programming skills, preferably in Python, knowledge of SQL databases, Excel proficiency, and an interest in scientific data management and engineering.
Summary Generated by Built In

We’re building the future of medical dermatology by focusing on unmet patient needs and giving people the space to think independently, take ownership and make an impact that matters.


Our purpose is simple: to transform patients’ lives by addressing real needs. We work with care, act with courage, keep things simple and focus our innovation where it makes a difference.


Recognised as a Top Employer in Spain since 2008 and in Germany since 2025, we continue to invest in an environment where people can grow and move forward. 

If you care differently, you belong here. 

Data Management Engineer Trainee

Join the AIDE (Artificial Intelligence & Data Engineering) group within the R&D Data Science team and contribute to the digital transformation of drug discovery and development.

As a Data Management Engineer Trainee, you will work at the intersection of data, technology and scientific research, helping to organize and manage critical laboratory data that supports cutting-edge R&D projects. Your work will contribute to building high-quality data foundations that enable advanced analytics, data-driven decision making and future Artificial Intelligence applications.


What will you do?

As part of a multidisciplinary team, you will have the opportunity to contribute to a variety of data management and engineering activities, including:


Data Model Development
Design and support the implementation of data models, schemas and ingestion pipelines within our R&D LIMS (Laboratory Information Management System), ensuring the accurate integration and organization of scientific data.


Data Processing & Integration
Contribute to the maintenance, optimization and monitoring of data processing pipelines for different types of laboratory data, with a particular focus on chemical and biochemical assay information. You will help ensure that data is accurately captured, processed and made available for analysis and visualization.


Collaboration with Scientific Teams
Work closely with researchers from Chemistry and Biology laboratories, as well as IT teams, to understand data requirements, improve data workflows and support data management initiatives across R&D.



What are we looking for?
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Chemical Engineering, Biomedical Engineering, Data Science or a related discipline.
  • Strong programming skills, preferably in Python.
  • Knowledge of SQL databases (Oracle SQL is a plus).
  • Proficiency in Excel; experience with Visual Basic for Applications (VBA) is highly valued.
  • Interest in data management, data engineering and scientific data analysis.
  • Experience with data management platforms or LIMS systems will be considered a plus.
  • Strong communication skills, with the ability to explain technical concepts to diverse audiences.
  • Comfortable working in a multidisciplinary and collaborative environment.
  • Fluent English; advanced proficiency is highly desirable.

Why join us?
  • Be part of an international R&D environment where science, data and innovation come together.
  • Work alongside experts in Artificial Intelligence, Data Engineering and Drug Discovery.
  • Gain hands-on experience managing real scientific data and supporting impactful research projects.
  • Develop both your technical and professional skills through a challenging and collaborative internship experience.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Chemical Engineering, Biomedical Engineering, Data Science, or a related discipline.
  • Strong programming skills, preferably in Python.
  • Knowledge of SQL databases; Oracle SQL is a plus.
  • Proficiency in Excel.
  • Interest in data management, data engineering, and scientific data analysis.
  • Strong communication skills and ability to explain technical concepts to diverse audiences.
  • Ability to work in a multidisciplinary and collaborative environment.
  • Fluent English; advanced proficiency is highly desirable.
  • Experience with VBA.
  • Experience with data management platforms or LIMS systems.
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The Company
HQ: Barcelona
2,000 Employees
Year Founded: 1944

What We Do

Almirall is a Barcelona-based global pharmaceutical company focused on medical dermatology. It partners with healthcare professionals, patients, and caregivers to understand skin disease and develop meaningful medicines and treatments. Its patient-centred research and development spans early discovery through clinical and real-world work, addressing conditions including acne, psoriasis, atopic dermatitis, actinic keratosis, alopecia, vitiligo, and hidradenitis across more than 100 countries.

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