Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. La position The PTE (Pharma Technical Operations Digital Analytics & Operational Excellence) organization will catalyze the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We will build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.
PTE’s Digital Data Backbone Chapter will enable this vision by making FAIR data available across the organization establishing a decentralized, value driven and data product centric approach.
As a member of the PTE Data Engineering and Architecture Team, you will work in multi-disciplinary environments harnessing data to provide real-world impact for our processes and products. You’ll work closely with a team of data scientists, subject matter experts and other data engineers in order to curate, transform and construct features which feed directly into our modeling approach. Additionally, you will contribute to the delivering FAIR data products.
You will be responsible for finding improvements in advanced data analytic models and data architecture. Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Hybrid technical role interfacing with process SMEs using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.
Understanding, assessing and mapping the data landscape
Work with our process experts to model their data landscape, obtain data extracts and define secure data exchange approaches
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle,



and prepare data for use in their advanced analytical models
Maintaining our Information Security standards on the engagement
Use new and creative techniques to deliver impact for our clients as well as internal R&D; projects
University Degree with a minimum of 3+ years of relevant work experience in the bio-pharmaceutical industry specializing in bioprocess manufacturing sciences and technology or 5+ years of working experience with a degree in Statistics, Data Science, Mathematics, Software Engineering, Bioinformatics or a related field.

Proven and significant experience building and managing data pipelines.
Ability to build and manage data pipelines with Python, Scala or Java.
Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability.
Commercial client-facing project experience is helpful, including working in close-knit teams
Capable of working across structured, semi-structured, and unstructured data, extract information and identify linkages across disparate data sets.
Meaningful experience in multiple database technologies (such as Hadoop, MS SQL Server, Oracle, MySQL, Teradata, Snowflake).
Deep understanding of Information Security principles to ensure compliant handling and management of process data
Experience and interest in Cloud platforms such as: AWS, Azure, or Google Platform
Familiarity with data warehousing and deploying ETL processes with Python. Knowledge of cGMP’s, Health Authority regulations, and Quality Systems.
Ability to work in an international/integral environment. May work in the clean room environment that requires gowning in the form of hospital scrubs,
Able to work on co-located or remote cross-functional teams
Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique.

📌 Data Engineer Associate (Madrid)
🏢 Roche Holding
📍 Madrid