2 of 2 Data Quality Jobs in Merton

experiences and building platforms that handle the complexity of modern cruising — all while keeping things collaborative and fun. ⭐ Your Mission: Are you passionate about unlocking the power of customer data? We're looking for a talented Lead Data Engineer to spearhead the design, development, and optimisation of our critical CRM and customer data transformation. You'll play … a pivotal role in building the data foundations for advanced analytics, personalised customer experiences, and effective marketing activation. As a senior member of the team, you will lead data engineers and champion best practices within our data environment. 🎯 What You'll Do: Design & Build: Architect, build, test, and deploy robust, scalable, and reliable data pipelines, focusing … on ingesting and transforming CRM and customer data from various sources. Lead & Innovate: Take technical ownership of customer data integration solutions within our data platform (AWS/SQL Server). Drive improvements and implement best-in-class data engineering practices. Ensure Quality: Champion data quality and governance for customer datasets. Implement robust monitoring More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm … rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary approach to solving enterprise-AI problems. Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management … Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data architectures using cloud-based platforms (e.g., AWS, Google Cloud, Azure). • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce More ❯