1 to 2 of 2 Permanent Workload Management Jobs in London

enhance the service at every opportunity. Experience and seniority of the position will be reflected by the remuneration and benefits package. Key Responsibilities Direct management of onsite technicians and cover/freelancers Service Improvements - work with the Operations Team to identify service improvements Incident management - manage process lifecycle … as per client internal processes Discipline - maintain an organized and professional environment where the team is managed to meet and exceed client standards Performance Management - regular 1 to 1 meetings with direct reports, performance improvement plans if required Staff Development - skills matrix, training requirements Daily workload management … Scheduling Forecast - staff, hire, and technical requirements Reporting Metrics - ensure all operational financial, and metrics reports are provided to the client and company senior management both via Monthly/Quarterly Service Reviews and ad-hoc requests more »

Applicants must be experienced in implementing data solutions based on DataBricks. Main Responsibilities Plan, build and implement data solutions based on Azure/DataBricks Management of data processing, data cleansing and ETLs Management of data mart for defined data driven use cases Provide deep analysis on all the … external data and processes to answer specific business questions and identify opportunities for improvement. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Person Specification Required Demonstrable experience of working with Databricks Demonstrable experience with and knowledge of Azure components - Azure Data Factory, Azure Data Lake … stream processing, and highly scalable ‘big data’ data stores. Experience supporting and working with cross-functional teams in a dynamic environment. Experience in log management tools to troubleshoot issues as well as identify useful analytics data. Preferred Experience in Microsoft Azure services and Databricks Spark, Redshift, Hadoop Map-Reduce more »