4 of 4 Remote/Hybrid Data Quality Jobs in Northern Ireland

chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring ...

Senior Data Engineer | Remote (UK or Europe) A leading prop trading firm is hiring a Senior Data Engineer to take ownership of their trading and market data infrastructure. Operating globally with connectivity to dozens of exchanges, the firm executes millions of trades daily with data playing … business. This is a high-impact, high-autonomy role in a lean engineering environment. You'll design and maintain real-time and historical data systems, power internal analytics tooling, and ensure data quality, reliability, and observability across production systems. Ideal for someone who thrives in fast-paced ...

Quality Assurance Automation Engineer (Remote) Shape the future of data‐driven technology in a rapidly scaling organisation We're seeking a Quality Assurance Automation Engineer who is passionate about technology, data quality, and building products that make a real‐world impact. This is a unique … growth company – Great Future prospects About the Company The business is an innovative technology organisation developing next‐generation software that automates and streamlines complex data workflows. Our platform reduces manual processes, enhances accuracy, and accelerates testing and deployment across mission‐critical environments. Recognised as a leader in our space ...

Code/Workflow platforms, and Conversational AI Ensure governance and ethics are embedded in all AI solutions, addressing topics such as data quality, bias, model interpretability, and responsible AI deployment Monitor adoption and success metrics, using feedback and performance data to iterate and continuously improve delivered solutions ...