Data Engineer

Data Engineer | Belfast Mid-level Data Engineer (3 years) joining a growing data practice Python, SQL, AWS and a modern data lakehouse platform Shape the data platform behind an AI-forward SaaS product used by major names in security, retail and law enforcement About the Company Their technology helps keep frontline staff safe and reduce risk. They have built a culture around openness, transparency and a one-team spirit, and they are AI-forward in both how they work and what they build.

The Role This is a chance to help build out a modern data lakehouse platform and a data practice that is still taking shape. You will own the journey from raw source to finished insight, onboarding new data, building pipelines and models, and delivering dashboards used by internal teams and external customers. You will work closely with data, domain and product teams, turning requirements into clean, well-engineered solutions.

The team values pragmatism over complexity, so this suits someone who likes ownership, solves problems practically and enjoys seeing their work used.

Key Responsibilities Build and maintain reliable ETL/ELT pipelines, onboarding internal and external data sources via APIs and database integrations Design reusable, well-structured data models that support analytics, reporting and product features Develop clear, intuitive dashboards and reports for internal and customer-facing use Test, monitor and troubleshoot pipelines to improve data quality, reliability and performance Collaborate with domain owners, product and engineering to define data needs and deliver from requirement to release Apply AI-assisted development tools to speed up delivery and contribute practical improvements to the platform Uphold data protection and governance practices across all data work Maintain clear, useful technical documentation What You'll Need Essential 3 years in data engineering, analytics engineering or a similar hands-on role Strong Python and SQL Experience building ETL/ELT pipelines and integrating data from APIs and other sources Solid grasp 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 Comfortable using AI-assisted development tools Based in or within commuting distance of Belfast, with the right to work in the UK Nice to have Data lake or lakehouse experience, plus transformation, orchestration or data quality tooling Customer-facing SaaS analytics, semantic models or infrastructure-as-code Exposure to AI, machine learning or advanced analytics Why Apply ?

Generous annual leave allowance Health insurance contribution Learning and development opportunities, with real responsibility from day one Cycle to work and home & tech schemes An open, collaborative, one-team culture in a scaleup that reinvests in its people A genuine say in shaping a growing data platform and practice Interested? Message Ryan Quinn on Linked In ( or send your CV via the link below, Benefits:
Bonus Company Shares