About the Company

Our client is a large, asset-intensive organisation operating across multiple sites. With a strong commitment to safety, operational excellence and long-term sustainability, the business is continuing to invest heavily in its data and digital capability to support critical operational and corporate decision-making.

They are seeking a Lead Data Engineer to take ownership of the core data engineering function, with a strong focus on data quality, reliability and scalable pipeline design.

The Role

This is a hands-on leadership role for an experienced data engineer with a strong operational mindset. You’ll be responsible for building, maintaining and enhancing enterprise-scale data pipelines.

Key Responsibilities

• Lead the design, build and management of robust data pipelines, with a strong focus on the bronze, silver and gold layers and upstream data quality
• Take ownership of data cleansing, validation and remediation — actively identifying and fixing data issues at source
• Manage and enhance existing data platforms and architectures to ensure reliability, performance and scalability
• Develop and maintain strong data models that support downstream analytics, reporting and operational use cases
• Work closely with business and technical stakeholders to understand requirements and translate them into effective data solutions
• Provide technical leadership and guidance across data engineering best practices, standards and ways of working
• Support and enable analytics and reporting tools, going beyond surface-level integrations to ensure trusted, well-structured data products

You will bring:

• Extensive experience in heavy data engineering roles, managing complex pipelines and large datasets
• A strong understanding of data modelling principles and how to design data for analytical and operational use
• Hands-on experience working with modern data platforms (e.g. Databricks) and supporting BI tools such as Power BI
• A proactive approach to identifying, fixing and preventing data quality issues
• Proven stakeholder management skills, with the ability to work effectively across technical and non-technical teams
• Experience maintaining and improving enterprise data systems in a production environment