4 of 4 Remote/Hybrid Analytics Jobs in Cambridge

modern cloud-based data platform within a global manufacturing organisation specialising in the production of high-quality equipment. Sitting within a global data and analytics function, this role is central to managing the data platform and delivering high-quality reporting capabilities that support operational, financial and strategic decision-making across … Opportunity to work with modern data platforms including Microsoft Fabric and Power BI Career development within a growing international data and analytics function This is just a brief overview of the opportunity. To learn more, simply apply with your CV and we'll be in touch to discuss the role ...

working with a fast-growing SaaS company in Cambridge that is looking to hire a Data Engineer to join their expanding data and analytics team. This role is ideal for someone who enjoys building scalable data pipelines, designing ETL processes, and ensuring high-quality, reliable data for analytics and reporting … . You'll work with product, engineering, and analytics teams to deliver data solutions that support business decisions. The company offers a hybrid working model, competitive benefits, and strong professional development opportunities . Key Responsibilities Design, build, and maintain robust ETL pipelines and data workflows . Develop and optimise data ...

working with a fast-growing SaaS company in Cambridge that is looking to hire a Data Engineer to join their expanding data and analytics team click apply for full job details ...

emphasis on backend engineering. You will contribute to the design, development, and deployment of scalable features while helping shape a platform that will incorporate analytics, automation, and intelligent network optimisation. This role is ideal for a developer with around 1–2 years of commercial experience who is eager to deepen … JavaScript and frameworks such as React, Angular, or Vue. Experience working with cloud platforms such as AWS or Google Cloud. Exposure to data analytics or machine learning concepts. Knowledge of 5G, LTE, WAN technologies, or network management systems. Experience with geospatial mapping or GIS tools. Who You Are: A motivated ...