Data Engineering Lead - Edge Hill University

Key Responsibilities

• Lead the design, architecture, and implementation of the university’s data warehouse and broader data platform.
• Develop and maintain scalable ETL pipelines, ensuring data quality, consistency, and performance.
• Establish and enforce data engineering standards, best practices, and documentation across the team.
• Collaborate with data scientists, analysts, and stakeholders to translate business requirements into technical solutions.
• Mentor junior engineers, fostering a culture of continuous improvement and knowledge sharing.

Requirements

• Proven experience in data warehouse design and implementation using SQL and Python.
• Strong background in ETL development, data modeling, and performance tuning.
• Familiarity with cloud data platforms (e.g., AWS, Azure, or GCP) and related services.
• Excellent problem‑solving skills and ability to work independently in a hybrid environment.
• Effective communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.