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With a Data/AI Engineer role, you will enjoy working with data and AI technologies, value clean, reliable solutions, and want to deliver practical, business-focused outcomes. Applicants may have a background in either Data or AI engineering, with a keen interest in driving value from data using modern AI and analytics techniques.
As a Data / AI Engineer, you will design, build, and maintain data pipelines, analytical solutions, and AI-enabled capabilities that support business decision-making and digital transformation. You will work closely with analysts, engineers, and stakeholders to turn data into reliable, scalable, and impactful solutions.
Responsibilities
- Data Engineering & Development: Design, build, and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.
- AI & Advanced Analytics: Develop and implement AI / machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.
- Generative AI and Context Engineering: Develop generative AI enabled solutions using large language models and context/prompt engineering.
- Data Integration: Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
- Collaboration: Work closely with Business Analysts, Data Analysts, and product teams to understand requirements and translate them into technical solutions.
- Testing & Quality: Implement testing, validation, and monitoring to ensure data accuracy, model performance, and solution reliability.
- Performance & Optimisation: Optimise data processing, storage, and model performance for scalability and efficiency.
- Documentation: Produce clear technical documentation covering data models, pipelines, logic, and assumptions.
- Governance & Security: Adhere to data governance, security, and privacy standards throughout the development lifecycle.
Technical requirements
- Proven experience as a Data Developer, Data Engineer, AI Engineer, or similar role.
- Strong programming skills in Python, SQL, and/or similar languages.
- Experience building data pipelines and working with structured and unstructured data.
- Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable.
- Experience with cloud data platforms, data warehouses, or big data technologies is an advantage.
- Strong analytical and problem‑solving skills, with attention to detail.
- Ability to communicate technical concepts clearly to non‑technical stakeholders.
- Experience working in Agile delivery environments.
Appointment
Appointment to this role is subject to the candidate being eligible for and successfully obtaining UK Security Check (SC) security clearance.
Location & Working Arrangements
You will be based in Belfast with hybrid working, allowing the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely, depending on role requirements.
Personal independence
Certain colleagues must abide by specific personal independence constraints, such as not holding financial interests or secondary employment relationships with audit clients. The recruitment team will provide further details.
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