Senior Data Engineer

Client: GSK (Global Pharmaceutical Company)Contract: 6 Months | IR35: Inside Location: The Stanley Building (ULP) - Onsite 2-3 days per week

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.

• 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

• 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

• 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.