151 to 175 of 494 Cost Optimisation Jobs in the UK excluding London

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

facing, influencing stakeholders, contributing to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and … batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity with architectural frameworks (e.g., TOGAF), methodologies More ❯

debugging skills in complex environments Experience working within Agile squads, participating in sprint planning and backlog refinement Experience with AI-driven development tools (e.g., GitHub Copilot) Knowledge of ElasticSearch optimisation Exposure to Mantine UI for front-end component design Understanding of Infrastructure as Code (IaC) and cloud cost optimisation Experience with AI model integration in engineering More ❯

developing the client’s Databricks platform, preferably on AWS (Azure or GCP experience also acceptable), using Python and SQL, and contributing to CI/CD pipelines, strategy development, cost optimization, and data governance frameworks. Responsibilities: Manage and mentor a team of eight engineers. Oversee the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Develop More ❯

and stress tests to ensure systems can handle high traffic and performance demands without failure. Infrastructure Management: Cloud infrastructure management: Manage AWS cloud resources and ensure proper scaling, cost optimization, resilience and environment consistency. Disaster recovery planning: Develop and maintain disaster recovery strategies to ensure quick recovery in case of catastrophic failures. Collaboration with Development Teams: Work with More ❯

The role involves developing the client's Databricks platform (AWS preferred, open to Azure or GCP), utilizing Python and SQL, contributing to CI/CD pipelines, strategy development, cost optimization, and data governance frameworks. Responsibilities Manage and mentor a team of eight data engineers. Oversee the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. More ❯

and stress tests to ensure systems can handle high traffic and performance demands without failure. Infrastructure Management: Cloud infrastructure management: Manage AWS cloud resources and ensure proper scaling, cost optimization, resilience and environment consistency. Disaster recovery planning: Develop and maintain disaster recovery strategies to ensure quick recovery in case of catastrophic failures. Collaboration with Development Teams: Work with More ❯

to deliver the services and technologies required. Guide the SRE function to support Evri achieve compliance with the Well Architected AWS Framework through: Operational Excellence, Performance, Cost Optimisation, Security and Reliability Foster a culture of innovation, reliability, and efficiency across Evris cloud services Actively participate in and help mature the Cloud Centre of Excellence, working across Engineering More ❯

the DevOps Consortium function, to ensure engineers in development teams are following best practices and deploying high quality and secure services. Assist with Azure cost analysis and optimisation of services across the estate. Ensure scalability and high availability by coordinating/participating in Performance and Disaster Recovery tests. Work closely with other departments, such as Ops and More ❯

teams to self help with e.g. allocating system storage and planning storage needs; performing upgrades; optimising database queries Own and improve monitoring dashboards and alerts Own cost optimisation - reviewing and proposing recommendations for optimising database footprint, including reserved instance lifecycle management Embrace automation and be reluctant for manual implementation Implement security best practices Demonstrate knowledge of new More ❯

automation, and platform maturity to improve agility, resilience, and speed of delivery across the estate. Define and execute a platform infrastructure strategy focused on performance, agility, resilience, and cost optimisation. Lead platform operations across cloud, on-prem, and hybrid environments simplifying architecture and reducing technical debt. Define SLIs and SLOs across latency, availability, and throughput, aligning internal goals … closely with Engineering, Delivery, and Architecture teams to ensure seamless integration and interoperability across the stack. Support financial management by tracking compute, license, and platform run costs identifying cost-saving opportunities. Expertise with Azure cloud services, including resource management, networking, and compute. Proficiency in Azure DevOps, including CI/CD pipelines, Azure Boards, and Azure Repos. Strong knowledge More ❯

self-service capabilities. Represent the Data Team in leadership discussions and ensure alignment with business priorities. Continuously improve data operations, governance, and platform scalability. Oversee the design, development, and optimisation of scalable and reliable data pipelines. Translate business requirements into robust data models, architecture, and reporting frameworks such as Power BI. Ensure the consistency, quality, and accessibility of data … data architecture, including Azure-based lakes, and integrations. Drive the automation of data-driven processes to improve efficiency and reduce manual work. Monitor data platform usage and costs, identifying optimisation opportunities across cloud services. Collaborate with business stakeholders to understand analytical needs and deliver actionable solutions. Act as an escalation point for complex data-related issues; ensure timely resolution. More ❯

self-service capabilities. Represent the Data Team in leadership discussions and ensure alignment with business priorities. Continuously improve data operations, governance, and platform scalability. Oversee the design, development, and optimisation of scalable and reliable data pipelines. Translate business requirements into robust data models, architecture, and reporting frameworks such as Power BI. Ensure the consistency, quality, and accessibility of data … data architecture, including Azure-based lakes, and integrations. Drive the automation of data-driven processes to improve efficiency and reduce manual work. Monitor data platform usage and costs, identifying optimisation opportunities across cloud services. Collaborate with business stakeholders to understand analytical needs and deliver actionable solutions. Act as an escalation point for complex data-related issues; ensure timely resolution. More ❯

working with technology leadership members Ensure the quality of engineering deliverables and identify skill sets and resource gaps in building teams Additional Experience (nice to have): FinOps and cost optimisations Previous experience building a Greenfield environment along with AWS certifications Experience working with material outsourcers Required skills and experience: Proven Cloud Architecture experience with Azure and AWS Strong More ❯

UK and occasionally to our other offices in Europe. Key Responsibilities 3-5 years proven experience as a Laravel Developer. Experience with DevOps, DevSecOps, or similar. Experience with cost optimisations. Experience with debugging and mitigate scaling-issues. Experience with modern front-end frameworks such as Livewire, React, Vue.js and Angular. Experience with back-end technologies such as Laravel More ❯

Engineering Operations to lead the development and management of our cloud platform and infrastructure. As the Director of Engineering Operations, you will be accountable for the strategy, execution, and optimisation of our cloud estate, blending cutting-edge technology with operational excellence. This role will have a far-reaching impact across the business and be pivotal in enabling our platform … Engineering Operations to lead the development and management of our cloud platform and infrastructure. As the Director of Engineering Operations, you will be accountable for the strategy, execution, and optimisation of our cloud estate, blending cutting-edge technology with operational excellence. This role will have a far-reaching impact across the business and be pivotal in enabling our platform … AWS, Azure, and Google Cloud. You should know how to optimise and scale large cloud estates effectively. Operational Excellence: A strong track record in infrastructure management, cost optimisation, automation, security, and ensuring high availability. You will be expected to drive operations to world-class standards. Strategic Vision: The ability to blend tactical execution with long-term strategic More ❯