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.
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.
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.
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.
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.
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.
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 dictionaries and technical design artefacts.
Bachelor's degree in Computer Science, Information Systems or a related discipline.
Minimum 5 years' experience working in Data Engineering, ETL development, systems integration and data warehousing environments.
Proven experience leading technical teams and driving engineering best practices.
Deep expertise in:
SQL
Data Modelling
Data Warehousing
ETL Design and Development
Strong experience with Microsoft Fabric or enterprise-scale data integration platforms.
Knowledge of data management disciplines including:
Data Quality Profiling
Metadata Management
Master Data Management
Data Cleansing and Standardisation
Strong programming and scripting skills across languages such as:
Python
Java
Scala
R
Strong understanding of Business Intelligence strategies and how data platforms support analytics and reporting.
Financial Services experience.
General Insurance experience.
Experience working within large-scale, complex data and analytics environments.
Exposure to enterprise architecture and governance frameworks.
Strong project and stakeholder management experience.
Ability to balance strategic thinking with hands-on technical leadership.
Excellent communication skills with the ability to engage effectively with both technical and non-technical audiences.
Strong understanding of translating business requirements into technical and functional solutions.
You're someone who:
✅ Is an experienced and credible technical leader who enjoys developing people and building high-performing teams.
✅ Thrives on solving complex data challenges and delivering scalable, long-term solutions.
✅ Takes ownership, works proactively and brings a practical, "can-do" approach to problem solving.
✅ Can quickly build an understanding of business priorities and align technical delivery to strategic objectives.
✅ Is a strong relationship builder, capable of influencing and partnering with senior stakeholders across the organisation.
✅ Balances technical depth with a commercial mindset, ensuring solutions deliver measurable business value.
This is an exciting opportunity to join a growing centre of excellence at the forefront of data and analytics within a global organisation. You'll have the opportunity to shape the future of the Lab's data architecture, lead a talented engineering team and work with modern technologies including Microsoft Fabric to deliver impactful solutions at scale.
If you're passionate about data engineering leadership, architecture and building world-class data platforms, we'd love to hear from you.
The Company
In an industry that never stands still, neither do we. The Ardonagh Group was founded in 2017 and has grown to become the UK’s largest independent insurance distribution platform and a top 20 broker globally.
Our best-in-class entrepreneurial and specialist brands span a network of 150+ locations worldwide and have a combined workforce of more than c.12,000 people. Across our portfolio, we offer a highly diversified range of insurance-related products and services across the full insurance value chain in the UK, Ireland and broader international markets.
From complex multinational corporations to individuals purchasing personal insurance policies, our understanding of the communities we serve, together with our scale and breadth, allows us to deliver a broad range of product and risk solutions to meet the needs of a rapidly evolving market.
If you approach life with a sense of adventure you might just find what you need at Ardonagh to bring your ambition to life.
Find out more about Ardonagh’s world of opportunity on LinkedIn or visit www.ardonagh.com
#AAL
The Ardonagh Group is the UK’s largest independent insurance distribution platform and a top 20 broker globally. We are collection of best-in-class entrepreneurial and specialist brands with a network of more 150 locations worldwide and a combined workforce of more than 9,000 people.
Across our portfolio, we offer a highly diversified range of insurance-related products and services across the full insurance value chain in the UK, Ireland and broader international markets. From complex multinational corporations to individuals purchasing personal insurance policies, our understanding of the communities we serve, together with our scale and breadth, allows us to work with our insurer partners to deliver a broad range of product and risk solutions that meet customer needs.
To find out more, visit our website: www.ardonagh.com
