Ingeniero Data Science Machine Learning

We are currently seeking an experienced Data Engineer to join a leading Pharmaceutical client of ours at their Barcelona site. This exciting opportunity will involve contributing towards the utility of the businesses' brand new GenAI capability, where you will be instrumental in supporting the R&D department by extracting and matching bio-sample identifiers with other internal datasets. Our client is looking for a "can do" type of individual, who is able to work independently to solve complex challenges without direct supervision. The role will require someone who is able to modernise the data science infrastructure across a global business and also help deploy AI and Machine Learning models at scale.

The role requires English language skills, and candidates to be Spain based, ideally Barcelona and surrounding areas as travel is required due to hybrid working conditions, although there is some flexibility for remote work for the right candidate.

Apply excellent abstraction and analytical capabilities to perform data transformations and enable the connection of datasets, thinking outside the box as needed.

Extract data from existing internal sources.

Build data models to link regulated and sensitive data.

Collaborate with cross-functional teams, including data scientists, engineers, and IT to ensure seamless integration of systems.

Automate deployment processes to ensure rapid and reliable delivery of project environments.

Document processes, workflows, and technical guidelines to support knowledge transfer.

Strong background in Data Engineering.

Experience with Spark/Pyspark would be very beneficial.

AWS experience.

CI/CD and Deployment experience would be very beneficial.

Experience collaborating with data scientists would be a plus but not required.

The role offers the flexibility of a hybrid/remote work arrangement and is a 6 month contract with possibility of extension.

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