Senior Data Engineer

Senior Data Engineer (Python / ML) - Contract Client: GSK (Global Pharmaceutical Company) Contract: 6 Months | IR35: Inside Location: The Stanley Building (ULP) - Onsite 2-3 days per week Overview GSK is seeking a Senior Data Engineer with ML exposure to support cloud-based, data-driven initiatives. The role focuses on building scalable data pipelines, managing large datasets, and enabling ML workflows within an enterprise environment. Key Responsibilities • Build and maintain scalable Python-based data pipelines • Manage object/blob storage for structured and unstructured data • Support ML workflows (data loading, dataset management) • Work with BigQuery and SQL databases • Optimise memory management and performance • Collaborate with data scientists and ML engineers Required Skills • 5+ years Data Engineering experience • Strong Python • GCS (preferred) or AWS S3 • PyTorch (data loading & datasets) • BigQuery (GCP) • SQL (SQL Server preferred, PostgreSQL acceptable) • Strong understanding of memory management Nice to Have • Other GCP services (Cloud Run, Cloud SQL, Cloud Scheduler) • Machine Learning experience • Pharma / Life Sciences background Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.