Data Engineer

• ROLE OVERVIEW An exciting contract role has arisen for a Senior Data Engineer to join a leading biopharma company based in central London, with the flexibility of working two days from home. As a Senior Data Engineer, you will play a crucial role in managing and optimising data processes, with a strong focus on machine learning applications. Key Duties And Responsibilities Your duties as the Senior Data Engineer will be varied; however, the key duties and responsibilities are as follows: • Develop and maintain robust data pipelines using Python, ensuring efficient data loading and dataset management with PyTorch. • Manage and optimise blob storage for unstructured data, preferably using Google Cloud Storage (GCS) or AWS S3. • Utilise BigQuery in Google Cloud Platform (GCP) and SQL databases such as Microsoft SQL Server or PostgreSQL to manage and query large datasets. • Implement effective memory management strategies to enhance data processing efficiency. Role Requirements To be successful in your application to this exciting role as the Senior Data Engineer, we are looking to identify the following on your profile and past history: • Relevant degree in a related field such as Computer Science, Data Science, or Engineering. • Extensive industry experience in cloud data engineering, with a strong preference for experience in GCP. • A working knowledge and practical experience with PyTorch, particularly in data loading and dataset management. Key Words: Data Engineer / Senior Data Engineer / Python / PyTorch / Google Cloud Platform / GCP / BigQuery / SQL / Cloud Storage / Machine Learning / Data Pipelines / Remote Work Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.