Engineering Team Lead
Theardonaghgroup
| Company | Theardonaghgroup |
| Category | Engineering |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 20 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
Lead the Data Engineering Function Powering a Global Analytics Operation The Ardonagh Analytics Lab is a pioneering data and analytics operation established by The Ardonagh Group in Mullingar, Co. Westmeath. The Lab delivers data-driven insights to clients across the globe and supports more than 12,000 colleagues in providing tailored solutions across a diverse range of insurance products and related services. Focused on delivering better outcomes across the insurance value chain, the Analytics Lab combines data, technology and expertise to build a deeper understanding of risk, anticipate future outcomes and help clients and insurer partners prepare for the unknown. As we continue to grow, we're looking for an experienced Engineering Team Lead to lead our Data Engineering capability and help shape the future of our data platform, architecture and engineering standards. The Opportunity As Engineering Team Lead, you will provide both technical and people leadership across the Data Engineering function. You'll be responsible for defining and driving data integration and data management strategies, ensuring scalable and resilient solutions are delivered across the Analytics Lab. This role combines leadership, solution architecture, platform oversight and stakeholder engagement. You'll work closely with teams across Data Engineering, Data Science, Data Analytics and Data Visualisation to ensure data is accessible, trusted and ready to generate meaningful business insights. You'll also play a key role in the ongoing evolution of our Microsoft Fabric ecosystem, establishing reusable frameworks, governance controls and engineering best practices to support the Lab's continued growth. What You'll Be Doing Leadership & Team Development Lead, mentor and develop a team of Data Engineers, fostering a culture of excellence, collaboration and continuous improvement. Provide guidance on engineering best practices, methodologies, tools, standards and delivery approaches. Conduct regular one-to-one meetings, coaching team members to support their professional growth and performance. Data Platform & Architecture Provide strategic oversight of the Microsoft Fabric data platform, ensuring solutions are scalable, secure and reliable. Design and guide data integration strategies that support business growth and evolving analytics requirements. Provide architectural leadership across projects, designing solutions for reuse, maintainability and long-term value. Represent the Analytics Lab in architecture discussions and governance forums where required. Data Engineering & Integration Oversee the onboarding of new data feeds and the migration of data assets as the Group expands. Lead the design and implementation of logical and physical data models supporting enterprise data warehouse solutions. Drive the development of robust ETL processes, data pipelines and integration frameworks. Establish reusable engineering patterns that enhance delivery consistency, efficiency and governance. Governance, Controls & Operational Excellence Implement and enhance control frameworks that support risk management, operational visibility and data quality. Ensure recurring data loads and integrations are monitored, governed and managed effectively. Support the implementation of data security, compliance and governance standards across the platform. Drive best practice approaches to metadata management, data lineage and documentation. Collaboration & Stakeholder Engagement Act as a key link between Data Engineering, Data Science, Data Analytics and Data Visualisation teams. Partner with stakeholders across the organisation to translate business challenges into scalable data solutions. Build strong relationships with senior leaders, vendors and technical teams to support successful delivery. Support the creation and maintenance of architecture documentation, data flow diagrams, ERDs, data di
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