Senior Data Engineering Manager - Azure - London - Up to £120k

Senior Data Engineering Manager - Azure - Databricks - London - Up to £120kMy client are well recognised as being leaders within their relative field. With operations spanning across a range of continents, they have a footprint in nearly every major city globally. They were first established over half a century ago but they are part of a much bigger group which has been around for even longer, providing stability and financial backing which allows the business to continue to use cutting edge technologies. Whilst this role requires someone who comes from a Data Engineering background, this is a hands off role where you will be a people manager. You will be managing the core Data team but also looking after 2 other streams of work within PowerApps and Sharepoint. You will be required to provide mentorship as well as helping to drive the data strategy within the organisation. This role is paying up to £120k as a base salary. You will get up to 10% bonus (Discretionary) as well as a range of other great benefits. My client value work life balance more than anything as they strongly believe that a happy work force brings out the best productivity. They also have such a tight knit team which they want to maintain and they've achieved this through a hybrid working policy where all members of the team are required to be in office 3 days a week. Experience required* Proven experience in MS Business Intelligence technologies, including Power BI * Strong background in data architecture and engineering principles * Demonstrated ability to manage teams and deliver complex projects * Expertise in data warehousing and ETL processes * Solid understanding of data governance and compliance standards This is a unique opportunity for someone to work within a forward thinking organisation that will give you exposure to the latest technologies and some of the most exciting projects the market has to offer. Get in touch ASAP if you're interested.Key Skills: Azure, Microsoft, Databricks, AI, Agentic AI, Power Platform, Fabric, Power Apps, DevOps, SharePoint, Business Intelligence, Power BI, Data Architecture, London