Data Engineer - Pharma B2B Contract

buscojobs España; Badajoz; A distancia; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Data Engineer to support R&D IT partners by enhancing research activities through data extraction and integration. The role involves collaboration with teams to modernize data science infrastructure and deploy AI/ML models. Candidates should have strong skills in data modelling, Python, and CI/CD practices. This is a unique opportunity to contribute to innovative projects in a remote setup.

Formación

• Proven experience in data modelling and databases.
• Strong programming skills in Python focused on data science.

Responsabilidades

• Apply analytical capabilities to perform data transformations.
• Collaborate with cross-functional teams for system integration.
• Automate deployment processes for rapid project delivery.

Conocimientos

Data Modelling

Python

SQL

Spark

CI/CD

Git

Data Forensics

Herramientas

AWS

Jenkins

GitHub Actions

Descripción del empleo

Job Description: Data Engineer

Length of Contract: 6 months, temporary support to assist with projects. Possibility of extension.

Location: Remote preferred, Barcelona location is also an option.

Role Overview

We are seeking a highly skilled and motivated data engineer to support our R&D IT partners by extracting and matching bio-sample identifiers with other internal datasets. These efforts will enhance research activities and contribute to the utility of our newly developed GenAI capability.

The successful candidate will have a strong technical background in data modelling, data forensics, databases, Python, APIs, testing, Git, and CI/CD pipelines. This is a unique opportunity to play a critical role in modernising our client's data science infrastructure, enabling teams to collaborate, experiment, and deploy AI/ML models at scale.

Key Responsibilities

• 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.
• Extract identifiers from existing platforms.
• Build data models to link regulated and sensitive data.
• Collaborate with cross-functional teams, including data scientists, engineers, and IT, to ensure seamless system integration.
• Develop and maintain code following best coding and engineering practices.
• Automate deployment processes to ensure rapid and reliable delivery of project environments.
• Troubleshoot and resolve issues related to data access, API integrations, and migration.
• Document processes, workflows, and technical guidelines to support knowledge transfer.

Required Qualifications

• Proven experience in data modelling and databases.
• Strong programming skills in Python, with a focus on data science or software engineering and code quality standards.
• Strong SQL, Spark, and PySpark skills focused on interrogating and deploying data models.
• Hands-on experience with CI/CD tools and pipelines (e.g., Jenkins and GitHub Actions).
• Expertise in automated deployment and reproducible workflows.
• Familiarity with cloud platforms (e.g., AWS) and their integration with data science tools.

Preferred Qualifications

• Strong understanding of data modelling and databases.
• Excellent problem-solving skills with a proactive and collaborative mindset.
• Strong communication skills to work with diverse teams and explain technical concepts clearly.