Data Engineer

Location: Belfast, UK; must be based in or within commuting distance of Belfast and have the right to work in the UK.

Salary: £40,000–£60,000 per year

Company

hirify.global builds AI-forward SaaS technology that helps frontline staff stay safe and reduces risk for customers in security, retail, and law enforcement.

What you will do

• Build and maintain ETL/ELT pipelines integrating internal and external data through APIs and databases.
• Design reusable data models for analytics, reporting, and product features.
• Develop dashboards and reports for internal teams and external customers.
• Test, monitor, and troubleshoot pipelines to improve data quality, reliability, and performance.
• Work with domain, product, and engineering teams to define requirements and deliver solutions through release.
• Apply AI-assisted development tools, maintain technical documentation, and uphold data protection and governance practices.

Requirements

• 3+ years of experience in data engineering, analytics engineering, or a similar hands-on role.
• Strong Python and SQL skills.
• Experience building ETL/ELT pipelines and integrating data from APIs and other sources.
• Understanding of data modelling, warehousing, and cloud data platforms, with hands-on AWS data services experience.
• Practical experience building BI dashboards or reports.
• Familiarity with Git, testing, CI/CD, and data quality practices.
• Comfort using AI-assisted development tools.
• Must be based in or within commuting distance of Belfast and have the right to work in the UK.

Nice to have

• Data lake or lakehouse experience, including transformation, orchestration, or data quality tooling.
• Customer-facing SaaS analytics, semantic models, or infrastructure-as-code experience.
• Exposure to AI, machine learning, or advanced analytics.

Culture & Benefits

• Generous annual leave allowance and a health insurance contribution.
• Learning and development opportunities with responsibility from day one.
• Cycle-to-work and home and technology schemes.
• Open, collaborative, one-team culture in a scaleup that reinvests in its people.
• Opportunity to shape a growing data platform and data practice.

Hiring process

• Message Ryan Quinn directly on LinkedIn or submit a CV through the application link.