Staff Data Engineer Location: Belfast (Hybrid, 2 days per week in-office) Salary: Up to £110,000 base About the Role: Our client is seeking an experienced Staff Data Engineer to join their team in Belfast, contributing to the development of cutting-edge AI platforms. This is truly one of the best data engineering roles to hit the market in the past 12 months, offering an unparalleled opportunity to work on advanced AI and machine learning projects that are shaping the future of technology. Key Responsibilities: Design, build, and optimise data pipelines and data architectures to support AI and machine learning applications. Collaborate with data scientists, ML engineers, and software developers to create scalable solutions for real-time and batch processing. Lead data engineering efforts, ensuring best practices are followed in data modelling, data quality, and data governance. Implement data security, privacy, and compliance requirements across data platforms. Evaluate and integrate new tools, technologies, and frameworks to continuously enhance the data engineering stack. Qualifications & Skills: Proven experience in data engineering, with a focus on large-scale data processing and real-time data platforms. Strong programming skills in Python, SQL, and experience with data engineering tools like Spark, Kafka, and Airflow. Solid understanding of cloud-based data services (e.g., AWS, Azure, GCP) and containerisation (e.g., Docker, Kubernetes). Familiarity with AI and ML frameworks and working with data for machine learning models. Excellent problem-solving abilities, with a passion for optimising data workflows and working on cutting-edge AI projects. Benefits: Competitive salary up to £110,000 base. Hybrid working model with flexibility for remote work. Opportunity to work on state-of-the-art AI projects and make a meaningful impact in a fast-evolving field. Professional development and upskilling opportunities. How to Apply: For more information about this role or any other IT role you see. Contact Aaron Somers at Ocho or apply here. Skills: Data Python Spark Data Engineering