3,126 to 3,150 of 8,069 Digital & IT Jobs

Extensive experience building and enhancing enterprise data platforms, such as data lakes, data hubs and operational data stores, ideally within cloud environments, with Azure experience being particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools ...

IT Systems Administrator Salary: £33,000 - £38,000 Contract Type: Permanent Location: Hybrid working (office based in Oswestry) - typically 2 days in the office per week Support Technology That Keeps Practice Plan Running Practice Plan ...

multiple services. Full-stack or backend technical background with experience in Python and TypeScript (or similar). Cloud infrastructure experience with AWS or Azure and IaC with Terraform. Experience delivering UK Government digital services, with a strong understanding of the GDS/NHS Service Standard and assessment process. ...

multiple services. Full-stack or backend technical background with experience in Python and TypeScript (or similar). Cloud infrastructure experience with AWS or Azure and IaC with Terraform. Experience delivering UK Government digital services, with a strong understanding of the GDS/NHS Service Standard and assessment process. ...

outcomes. Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems ...

IT Systems Administrator Salary: £33,000 - £38,000 Contract Type: Permanent Location: Hybrid working (office based in Oswestry) - typically 2 days in the office per week Support Technology That Keeps Practice Plan Running Practice Plan ...

Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**What ...

also desirable. Experience with remote diagnostic tools and service environments, C#, .NET Core and WPF framework, C++, C, SQL (MySQL), and PLC programming. Azure DevOps for task tracking and GitHub for version control & CI/CD pipelines. Solid experience with several network protocols, TCP/IP, UDP, Modbus ...

warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL. Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP). Familiarity with data governance and security best practices. Excellent problem-solving skills and the ability to work independently or collaboratively ...

ability to manage ambiguity and prioritize effectively. Passion for innovation, collaboration, and continuous improvement. Desirable Skills: Experience with data platforms such as Snowflake, Azure Data Lake, or similar cloud-based technologies. Understanding of model monitoring, observability, and performance tracking practices. Exposure to AI/ML-enabled products ...

ability to manage ambiguity and prioritize effectively. Passion for innovation, collaboration, and continuous improvement. Desirable Skills: Experience with data platforms such as Snowflake, Azure Data Lake, or similar cloud-based technologies. Understanding of model monitoring, observability, and performance tracking practices. Exposure to AI/ML-enabled products ...

Geodatabase including developing Views, Stored Procedures and Functions. Geocortex/VertiGIS HTML/Java Script, ESRI ArcGIS JavaScript API, Angular/React, .Net, Azure DevOps Essential requirements Tertiary qualifications in application development or other relevant field and/or equivalent knowledge and substantial experience in the IT, Spatial ...

hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems ...

architectures Solid understanding of software engineering fundamentals, including data structures, algorithms, and system design principles Experience working with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices (CI/CD pipelines, containerisation with Docker/Kubernetes) Proficient communication skills in English, with the ability to collaborate effectively ...

modes, and performance engineering. Experience diagnosing complex production issues across application and infrastructure layers. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Hands-on experience with on-premise environments and virtualization. Experience with containers and orchestration technologies, Kubernetes is a must. Knowledge of observability ...

software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You’ve extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage ...

data modeling tools such as Erwin, ER/Studio, SqlDBM or SQL DB-native modelling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems. ...

Java development with Spring Boot Front‐end development using modern JavaScript frameworks (e.g., React, Vue) Experience with cloud platforms such as AWS or Azure Containerisation and orchestration using Docker and Kubernetes Infrastructure as Code (Terraform, Ansible or equivalent) Unit testing and test automation Use of code repositories ...

Experience leveraging programming languages such as Python, SQL, and/or R for analytics purposes. Exposure to cloud analytics tools like Databricks and Azure analytics resources like Data Factory and Synapse. Exposure to REST APIs and programmatic data retrieval. Exposure to SAP a plus. The estimated base ...

delivery and code review practices. Exposure to ITOM, Discovery, Service Mapping, CSM, Performance Analytics, Service Portal or UI Builder. Integration experience with Salesforce, Azure, Active Directory Key behaviours Takes ownership and resolves issues in a structured, documented way. Balances delivery pace with security, supportability and governance. Collaborates effectively ...

certification systems. While the primary focus of this role involves support of bare‐metal on‐premises infrastructure, experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is desirable. Incident Response & Technical Troubleshooting: Serve as a technical responder for production incidents occurring during ...

Technical Architect or similar role. In‐depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security ...

patterns Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large‐scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts ...

Power BI, SSRS, or similar data and BI technologies. • Experience partnering closely with Data Architecture teams. • Familiarity with tools such as Visio, Azure DevOps, JIRA, Confluence, Miro Working For Pacific Life Re Every person in our global team is valued for the unique qualities they bring ...

data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g. ...