2 of 2 Remote Data Architecture Jobs in Reading

We are searching for an experienced Lead Data Engineer for an exciting data-driven business with multiple office locations across the UK. The role is offered as a remote position, but you MUST be based in the UK to be considered for the opportunity. In this role you will be involved in determining the future direction and impact … of data engineering within the business. This is an extremely exciting Lead Data Engineering role, a fantastic opportunity for an experienced, innovative and hands-on data professional to help shape our client's products and solutions. Reporting directly to the Head of Data Engineering, you will play a crucial role in driving the team's vision … and objectives to completion. You will be expected to provide technical leadership, own the solution, ensure the reliability of data products, and collaborate closely with your team and other teams to optimise data solutions. This is a fantastic opportunity for highly skilled and motivated Lead Data Engineer with strong expertise in data architecture, ETL pipelines More ❯

cutting-edge connectivity solutions and technologies to ensure a vast array of devices stay seamlessly connected. Overview: Wireless Logic is on the lookout for a skilled, driven, forward thinking Data Engineer to step into our world and take full ownership of all data engineering activities. You will be joining a Data Team at a high growth technology … IoT connectivity provider who are driving and shaping a data vision and strategy across the group. This role is pivotal in designing, building, and maintaining scalable data pipelines and infrastructure mainly using the Microsoft technology stack. Reporting into the Group Head of Data, you will drive the group towards a data rich and data hungry … business by capitalising on the strong foundations the data team has built, continuing to build roads that will unlock data as a superpower so that our teams can gain the competitive edge and make informed decisions. Key Responsibilities: Own the full lifecycle of data engineering tasks from ingestion to transformation and delivery. Architect and implement scalable data More ❯