Data Engineering Lead

Role Overview

The Data Engineering Lead will build and maintain systems that collect, store, process, and analyze data. They will design and implement data architectures, pipelines, and warehouses to ensure data accuracy, accessibility, and security. The role requires collaboration with data scientists and stakeholders to drive business outcomes.

What You Will Do

The Data Engineering Lead will build and maintain data pipelines, design and implement data warehouses and lakes, develop processing and analysis algorithms, and collaborate with data scientists to build and deploy machine learning models.

Why It Might Be a Fit

The ideal candidate will have experience leading large-scale data engineering initiatives, owning end-to-end data delivery, and driving adoption of standardized engineering practices. They will have a strong understanding of data quality, metadata, lineage, and observability, and the ability to institutionalize these as platform capabilities.

Requirements

• Leading large-scale data engineering initiatives
• Owning end-to-end data delivery
• Driving adoption of standardized engineering practices
• Partnering with stakeholders to shape data strategy
• Exposure in Abinitio, Oracle, AWS technologies
• Understanding of the Cards ecosystem
• Working knowledge of DBT, Databricks, and Airflow
• Deep expertise in Python, SQL, and modern data engineering frameworks

Benefits

• Comprehensive understanding of the organization's functions
• Leadership and accountability for managing risk and strengthening controls
• Collaboration with other areas of work for business-aligned support
• Adoption of the Barclays Values and Mindset