2 of 2 Remote Data Fabric Jobs in the South East

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, cloud More ❯

Data and Information Architecture Consultant Department: Consultancy Employment Type: Full Time Location: United Kingdom/Hybrid Description As a Data and Infrastructure Architecture Consultant you will help enable Actica's clients to get the maximum benefit from their digital investments and transformation. In doing so, will play a key role in nationally critical projects which make a real … difference to people's everyday lives. Locations: Remote, Hybrid, London, Guildford, Bristol, M4 corridor Roles and Responsibilities You will use your data and information architecture skills across a range of consulting projects and clients. With expertise in using architectural practices to enable large, complex businesses to best exploit their data, you will help clients to make informed decisions … written deliverables. Working either individually or as part of a larger Actica team, you will undertake a number of consultancy assignments, which could include: Creating conceptual, logical and physical data models; Defining data architecture frameworks, principles, standards and policies and facilitating their adoption; Advising on the design and implementation of data governance and management across the full More ❯