4 of 4 Remote/Hybrid Data Quality Jobs in Wiltshire

Senior Data Engineer Job Title: Senior Data Engineer Salary Range: £80,000–£100,000 Location/Working model: London | Hybrid This is a critical technical position within a high-growth, forward-thinking organization that specializes in digital innovation. We require an experienced Senior Data Engineer to design … organization's operational and analytical success. Core Responsibilities The successful candidate will own the technical development and strategic execution of the core data platform, ensuring high quality, performance, and security: System Architecture & Development: Lead the design, development, and maintenance of scalable, high-performance, real-time data pipelines ...

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 ...

Neptune, we believe great technology starts with great people. Data is at the heart of everything we do at Neptune. From managing stock and inventory to understanding the habits of our customers, data drives every decision we make. We're looking for a Data Engineer within … team to help shape our data strategy and bring our information to life. You'll be the person who ensures our datasets are accurate, reliable, and high-quality datasets that power smarter, faster decisions every day. You'll play a key role in how we collect, protect ...

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 ...