About Ministry Brands:
Ministry Brands is a leading provider of SaaS operational management systems, payments platforms, digital engagement tools, and background screening solutions for faith-based, non-profit, and for-profit organizations. We serve more than 95,000 customers as a trusted partner in digital transformation and enablement—advancing missions, driving efficiencies, and building engaged communities for more than four decades.
The diverse and real-world experiences of our team members serving their communities make us stronger together and enhance our ability to advance digital transformation for the greater good.
Ministry Brands is committed to acknowledging and valuing our employees’ differences and to creating an environment in which every individual’s unique strengths and abilities are developed and celebrated. We welcome everyone and are dedicated to fostering a culture where all employees have equal opportunities to be heard and to reach their full potential.
About the role:
Are you a hands-on engineer who thrives in a dynamic, feedback-driven culture? We’re looking for a Principal Engineer or Architect to help shape the future of Ministry Brands’ next generation of AI-driven products.
You’ll lead the design, development, and optimization of data pipelines and infrastructure that power agentic architectures—directly supporting production-ready AI systems. This role requires a deep understanding of modern data architecture, AI technologies, and the ability to design and implement scalable solutions that drive innovation and business growth.
Our fast-paced environment embraces Extreme Programming and Agile principles, valuing collaboration, ownership, and continuous improvement.

What you’ll do:

• Design and build robust data pipelines and architectures that support next-generation AI-driven products.
• Implement rigorous data quality assurance processes to ensure accuracy, reliability, and performance.
• Mitigate bias and ensure fairness in AI models and data pipelines.
• Maintain the highest standards of data security and compliance.
• Collaborate across teams to innovate and bring transformative ideas to life.

What you bring:

• Proven track record of building production-level data infrastructure to support AI and agentic systems.
• Expertise in:
• Azure Fabric, Azure Data Factory, Synapse Analytics, Data Lake Storage, Databricks, Apache Spark, ClickHouse.
• Azure AI Foundry, Model Training, MCP (Multi-Context Protocol), Manager Agents, Semantic Kernel.
• Deploying agents in production environments.
• Experience with ELT/ETL for building and optimizing data foundations.
• Familiarity with:
• AI/ML model evaluation metrics and benchmarking techniques.
• A/B testing methodologies for assessing data or model updates.
• Mitigating biases in data and evaluating model fairness.

Preferred experience:

• Experience leading data engineering teams or initiatives in AI-focused environments.
• Strong collaborative mindset and a drive to foster a learning-oriented culture.
• A passion for continuous improvement and mentoring others.

What’s in it for you:

• Private Health Insurance: 100% employer-paid (Irish Life Health – 4D Health 2 Plan) for employees and eligible dependents.
• Dental Cover: Employer-paid Level 1 dental coverage through DeCare; optional upgrades available.
• Vision Care: Access to eye care and eyewear via DeCare (employee-paid).
• Life Insurance: 4x salary lump sum life assurance plus value of pension fund.
• Income Protection: 66.67% of base salary after a 26-week waiting period.
• Pension Scheme: Employer match of 5% in year 1, 6% after year 3; fully vested after 2 years.
• Employee Assistance Programme (EAP): Confidential 24/7 counselling and wellbeing support for employees and family.
• Annual Leave: 25 days paid time off per year (pro-rated in year 1).
• Maternity Leave: Up to 26 weeks at 100% salary after 1 year of service.
• Bike to Work Scheme: Tax-free bike/e-bike purchase up to €1,250/€1,500, repaid via payroll deductions.

• Design and build robust data pipelines and architectures that support next-generation AI-driven products.
• Implement rigorous data quality assurance processes to ensure accuracy, reliability, and performance.
• Mitigate bias and ensure fairness in AI models and data pipelines.
• Maintain the highest standards of data security and compliance.
• Collaborate across teams to innovate and bring transformative ideas to life