Data Engineering Lead

Overview

As Data Engineering Lead, you will own the data platform and Snowflake environment, guiding the organisation’s data strategy and building a scalable data capability. You’ll work with senior technology leaders to shape the long-term data roadmap and influence key decisions across the business. This role combines hands-on engineering with strategic ownership, allowing you to define standards, governance and security while delivering measurable improvements in data quality and reliability. It’s a high-impact opportunity to build something meaningful and directly influence senior stakeholders.

Responsibilities

• Own and evolve the organisation’s data platform and Snowflake environment
• Design, build and optimise data pipelines and integrations across multiple systems
• Improve data quality, reliability, performance and monitoring
• Consolidate fragmented data into a scalable, trusted ecosystem
• Define data architecture, governance and security controls
• Collaborate with senior technology leadership to shape the data roadmap
• Work with third-party partners during transition to more in-house data ownership

Key requirements

• Hands-on data engineering experience in modern cloud environments
• Experience with Snowflake and scalable data platforms
• Expertise in data integration, ETL/ELT pipelines and data warehousing
• Understanding of data governance, security and best practices
• Experience mentoring or leading team members
• Comfort operating autonomously as the senior data authority
• Enjoy solving complex problems and building capability from scratch

• leadership
• stakeholder influence
• autonomy
• Snowflake
• cloud-based data platforms
• ETL/ELT

Full job description from WhatJobs. Apply for this role →