This role involves designing, building, and operating secure, scalable AWS platforms. You will work hands-on with multi-disciplinary teams, support application and platform workloads, and contribute to continuous improvement of cloud platforms and delivery pipelines.
This role involves leading the modernisation of a financial services organisation's data platform, including architecture design, technology selection, and team management. Responsibilities include developing scalable data processing capabilities, building a customer data platform, and enabling secure, self-service data analysis through AI tools.
This role involves designing, developing, and maintaining reliable data pipelines and processes to support sports analytics and performance activities. You'll work closely with Data Scientists, manage Databricks environments, and integrate various performance data sources, taking ownership of data engineering challenges and contributing to the organisation's data strategy.
Data ScientistUp to £50,000 - WindsorThis is an exciting opportunity to join a growing organisation that is investing heavily in data, analytics and AI. With ambitious plans to further develop its data-driven capabilities, the business is looking for a Data...
This role involves developing and deploying machine learning models, designing scalable data models in Snowflake, and creating Power BI dashboards. You'll work closely with senior stakeholders to deliver data science solutions that drive business outcomes and shape the organisation's data science capability.
This role involves leading the development and maintenance of a modern, scalable data platform using AWS technologies, SQL, and Python. Responsibilities include designing a Customer Data Platform, automating data processes, and managing a small team of Data Engineers.
This role involves designing, building, and maintaining scalable data pipelines and platforms, integrating data from multiple sources, and supporting AI and analytics projects. You will work closely with analytics and data science teams, develop API integrations, and manage data engineering projects from design to deployment.
This role involves designing, developing, and maintaining scalable data pipelines using Python, Databricks, and PySpark. The Senior Data Engineer will work on complex data challenges, optimize data processing, and support enterprise data platforms in a modern cloud environment.
This role involves designing, building, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. You will shape the enterprise data architecture, optimize ETL/ELT processes, and mentor a junior engineer while partnering with various stakeholders to solve business challenges.
This role involves designing, building, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. You will shape the enterprise data architecture, optimize ETL/ELT processes, and mentor a junior engineer while partnering with various stakeholders to solve business challenges.
The Senior Data Engineer will design, develop, and maintain data engineering solutions for complex client requirements, including National Security and public sector projects. Responsibilities include leading engineering teams, collaborating with data architects and scientists, and building cloud-based data infrastructure using AWS, Python, and SQL.
This role involves leading multidisciplinary teams to deliver high-impact data and analytics solutions across various sectors. Responsibilities include shaping data products, managing teams, and ensuring successful project delivery using modern cloud technologies.
This role involves developing and maintaining Python-based applications and data solutions, building data pipelines, and working with cloud platforms like AWS, Azure, or GCP. You'll collaborate with multidisciplinary teams and support data quality and infrastructure automation.
This role involves developing and maintaining Python-based applications and data solutions, building data pipelines, and working with cloud platforms like AWS, Azure, or GCP. You'll collaborate with multidisciplinary teams and support data quality and infrastructure automation.
This role involves designing, building, and enhancing a secure, scalable Databricks data platform, developing data pipelines, and contributing to platform architecture and best practices. You will work closely with Product, Analytics, and Data Science teams to deliver effective data solutions and support platform operations.
This role involves working as a technical advisor to help customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform. The Solutions Architect will lead workshops, build reference architectures, and act as a trusted advisor during technical sales engagements. They will collaborate with account executives and customers to solve complex data challenges and drive platform adoption.
