3 of 3 Data Ingestion Jobs in Central London

Senior Data Engineer MUST HAVE SNOWFLAKE, AWS, SNOWPRO CORE Salary - £70-80k with 15% bonus Hybrid working - couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets SnowPro core certification. AWS Skillset Delivery experience Building … solutions in snowflake Insurance experience - advantageous but not necessary MUST HAVE SNOWFLAKE, AWS, SNOWPRO CORE Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL … processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers to power reporting and analytics Collaborate with stakeholders, product owners, and developers Create and maintain data models that serve as a foundation for reporting and analytics Monitor performance metrics and troubleshoot issues within More ❯

At Insurwave, we are looking for remarkable people who thrive on making an exceptional contribution. We now have an exciting opportunity for a Data Scientist to play a key role in our Data and AI team. If making a difference gets you out of bed in the morning, then this could be the perfect opportunity and the start … of something incredible! What will you be doing? As a Mid-Level Data Scientist, you will play a critical role within a multidisciplinary team of data scientists, analysts, and domain experts, developing advanced AI and analytics solutions for the Insurwave platform. This self-sufficient team is responsible for the entire delivery lifecycle—from design and development to testing … exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning models that meet defined performance and business requirements Develop production-ready data science solutions and maintain high-quality, testable code using modern development practices Build and maintain APIs, data pipelines, and automated workflows to support model deployment, monitoring, and lifecycle More ❯

Day-to-DayW ork closely with enterprise customers to understand their ERP setups (NetSuite, SAP, Microsoft Dynamics), billing and collections processesG ather and map technical requirements, including custom fields, data flows, and integration logicO wn the technical implementation of Kolleno during onboardingC ollaborate across Sales,Product, Engineering, and Customer Success to design tailored solutionsD evelop and deliver an internal … project plans and coordination of partner meetings, setting agendas, recording and distributing minutesD emonstrate strong project management capabilities by driving coordination of underlying implementation activities, including core application configurations, data ingestion setup, workflow configuration, and ongoing support.P articipate in client-facing meetings and communications across various organizational levels, including executives, project leads, and operational teamsE xperience Required& nbsp … + years in a Solutions Engineer, Implementation Specialist, Technical Consultant, or Salesforce Technical ConsultantS trong understanding of APIs, data mapping, and integration patternsC omfortable in client-facing situations, including with senior stakeholdersA bility to interpret business requirements and translate them into technical specsS trong organizational skills and a bias toward actionB onus: Hands-on experience working with ERPs – especially More ❯