3 of 3 Remote Cost Optimisation Jobs in Tyne and Wear

vision: Develop the overall strategy aligned with business objectives, including the integration of FinOps/DevOps culture, and appropriate use of cloud infrastructure. Set clear goals for performance, cost, efficiency and innovation. • Team leadership and mentorship: Lead the DevOps team, providing guidance, setting objectives, and fostering a culture of continuous improvement. Mentor cloud engineers in best practices around … including encryption, access control (IAM), network security, and monitoring. Regularly conduct security audits and implement security best practices (e.g., AWS WAF, Shield). • Cloud cost management and optimisation: Oversee cloud costs and usage, ensuring alignment with financial goals. Implement cost optimisation strategies such as right-sizing instances, identifying unused resources, and applying reserved instances … provide insights into spending by team, application, or project. • Manage relationships with cloud service providers (e.g., AWS) on optimal setup. • Establish a FinOps culture to ensure appropriate cloud cost or cloud financial management is effective and in place. • Implementation of FinOps practices: policies adapted and reporting on cost/consumption. • Team engagement: satisfaction and retention statistics More ❯

and IT, this role will ensure our Azure Databricks data ecosystem is scalable, efficient, and aligned with business objectives. Additionally, the Data Engineer will contribute to cost optimisation, governance, and automation within Azure’s modern data platform. Key Responsibilities Data Pipeline Development – Design, build, and maintain scalable ELT pipelines using Azure Databricks, Azure Data Factory (ADF), and … Delta Lake to automate real-time and batch data ingestion. Cloud Data Engineering – Develop and optimise data solutions within Azure, ensuring efficiency, cost-effectiveness, and scalability, leveraging Azure Synapse Analytics, ADLS Gen2, and Databricks Workflows Data Modelling & Architecture – Implement robust data models to support analytics, reporting, and machine learning, using Delta Lake and Azure Synapse. Automation & Observability – Use … as Code (IaC). Understanding of MLOps principles, including continuous integration (CI), continuous delivery (CD), and continuous training (CT) for machine learning models. Experience with performance tuning and query optimisation for efficient data workflows. Strong understanding of query optimisation techniques in Databricks (caching, partitioning, indexing, and auto-scaling clusters). Experience monitoring Databricks workloads using Azure Monitor, Log More ❯

of cloud strategies & transformation plans for clients to migrate to cloud. Experience in translation of client business challenges into cloud-based solutions Experience in managing Cloud/Technology cost optimisations Proven track record in successful Presales & Sales deliverables, including Bid's, RFP's, Demos and Presentations Proven track record in managing teams or mentoring junior team members *Must More ❯