Data Engineer - Pharma B2B Contract

Data Engineer Length of Contract: 6 month contract, temporary support to help with projects. Possibility of extension. Location Can be remote but Barcelona preferred 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 clients 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 model to link regulated and sensitive data • Collaborate with cross-functional teams, including data scientists, engineers, and IT, to ensure seamless integration of systems • Develop and maintain the code following best code 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 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 with focus 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.

Location: barcelona-barcelona, ES

Posted Date: 4/20/2025