2 of 2 Data Pipeline Jobs in Sussex

Role: Snowflake Data Architect Location: Hove, UK Type: Permanent Role Work Mode: Hybrid Role & Responsibilities Define and implement the end-to-end architecture of Data warehouse on Snowflake. Create and maintain conceptual, logical, and physical data models in Snowflake. Design data pipelines and ingestion frameworks using Snowflake native tools. Collaborate with Data Governance teams to establish data lineage, data quality, and access control mechanisms. Engage with data stewards and stakeholders to build a comprehensive and scalable data warehouse. Implement RBAC, data masking, and encryption practices to ensure compliance with data security policies. Qualifications & Skills 10+ years of experience … in designing enterprise data platforms, with at least 5+ years in Snowflake. Strong expertise in SQL and data warehousing. Hands-on experience working in the insurance industry; prior experience with L&G is an advantage. 3+ years of experience with DBT for data transformation. Deep understanding of agile methodologies in data environments. More ❯

Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: from £70,000 depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an … design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You … control, and continuous integration. Develop and maintain automated frameworks for testing, validation, and monitoring of AI model accuracy, performance, and reliability. Establish best practices for AI data pipeline development and integration with infrastructure to support scalable deployment. Collaborate closely with Data Scientists, Data Engineers, Software Developers, and Architects for seamless execution of AI More ❯