5 Permanent Data Virtualisation Jobs

Data Analytics Consultant Location : London – Hybrid Employment : Full Time All applicants must hold a DV (Developed Vetting) clearance to apply. The Opportunity : For the Ministry of Defence (MOD), maintaining National Security is a 24-hour-a-day, 365-day-a-year mission. For this reason, it partners with … this Big 4 Firm to support its multidisciplinary AI & Cloud Data Analytics Capabilities. The Data & Analytics team sits within the AI & Data consulting group, focusing on delivering complex initiatives across the Defence & Security sector. The Role : As a Data Analytics Consultant, you’ll design and build data solutions such as ETL components, data warehouses or data virtualisation implementation. Working closely with client stakeholders to design the source-to-target mappings for large-scale data migrations whilst conducting interviews and more »

complex problems with an iterative approach! Job Description The Senior Architect within the Comcast Software Engineering is responsible for designing, implementing, and maintaining data architecture solutions to support Consumer and Marketing initiatives and strategies. This role involves collaborating with cross-functional teams to understand business requirements, identifying data sources, and creating data models that optimize data storage, retrieval, and analysis. The Senior Architect will also play a key role in defining solutions, applications, infrastructure, and tools for the organization for a completely cloud oriented team. Key Responsibilities: Define the platform architecture, technology … strategy, and implementation standards. Design and develop scalable, high-performance data architecture solutions that support marketing analytics, customer segmentation, campaign management, and personalization initiatives. Focused on data modeling, data quality, data integration and data governance. Provide technology guidance to shape more »

JOB TITLE: Data Virtualisation Engineer SALARY: £85,255 - £100,300 LOCATION: Manchester HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Our team We're the … Data Movement Lab building and managing the future centralised nervous system, using the power of our existing batch technologies centred on IBM's Infosphere DataStage stack, alongside our emerging cloud strategy and streaming analytics capability to get closer to our customers. This will be the backbone of our … Event data processing hub. Our goal is to democratise Lloyds Bank's dataset. We're currently supporting 1'000's of processes across the Bank, acting as the Enterprise Data Integration function within the Bank for Retail, Insurance, Risk, Fraud, Customer Insight, Commercial and Corporate businesses. more »

Software Engineer London, UK This role supports our data virtualisation product and covers building, maintaining and scaling the product as an independent product and also as part of Finbourne's industry-leading LUSID product. Luminesce is a data virtualisation service that simplifies the connection … to any source or shape of data in your organisation and lets you join it together in a single virtual view in real time. The system enables you to instantly respond to cross-business challenges as they appear without requiring an IT solution. We're looking to hire more »

developer 6 months contract – Competitive market rates – Inside IR35 - London – 3 days on-site Key Skills: Python, Power BI, SQL, Experience with Big Data pipelines, DAX, Excel, Financial services background The Role: A global trading organisation is looking a Python/Power BI to join their Data … be working with the business helping to build Apps using Python and Power BI for the output dashboards. Key Responsibilities: Develop and construct data pipelines to facilitate efficient extraction, transformation, and loading of data from diverse sources. Create and implement Business Information Access portals, comprising dashboards … and reports, utilizing PowerBI. Collaborate with business stakeholders to comprehend the Data Virtualization layer, ensuring continued deployment and enhancements. Innovate existing solutions and forecast future demands to meet evolving business needs. Develop analytics tools leveraging the data pipeline to offer actionable insights across various business functions more »