2 of 2 Contract Azure Data Factory Jobs in the West Midlands

Role Purpose:To lead data science projects from initial problem statement, through to data exploration, transformation, and the application of enhanced analytics to our existing business processes. In addition, support the Commercial team in transforming the capabilities of data analytics, data engineering and data science. Being a part of the … central data team as a dedicated resource to the commercial team, you will drive a new data culture, best working practice, and advanced data methodologies to build, improve and automate solutions to drive commercial excellence in decision-making. Accountabilities Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms … across Pricing, Sales, and Ecommerce, to develop long-term strategic growth initiatives, and be a critical team member on project implementation. Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries, leading to prototype development and product improvement. End-to-end implementation of More ❯

A professional services firm who are scaling rapidly through acquisition, are looking for an Enterprise Data Architect to join their team in Stoke on Trent as they embark on a major transformation. With ambitious growth plans, you'll join during phase 1 of a multi-year strategy to unify and modernise their data, cloud, and tech … set-up, including the move from on-prem legacy systems to the cloud (which will most likely be Azure). Reporting into their new CIO/CTO, you'll play a pivotal role in shaping and executing their enterprise-wide data strategy - requiring visionary thinking, excellent stakeholder engagement skills, and also brilliant hands-on technical ability. … They are able to pay for accomodation if you don't live close enough to commute on a daily basis. What You'll Be Doing: Assessing the current data estate across on-prem, cloud, and legacy systems Designing and implementing a scalable, future-proof data architecture Leading the migration from legacy tools (e.g., SSIS, SSRS) to More ❯