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Qliksense Engineer

This role is for a Qliksense Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills required include QlikSense, SQL, Azure, and experience in the IT industry, preferably with gas/power trading knowledge.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#Databricks #Datasets #SQL (Structured Query Language) #Scripting #Microsoft Power BI #Azure #SAP Analytics #Visualization #Security #Conda #Agile #BI (Business Intelligence) #Data Engineering #Azure Analysis Services #SAP #Cloud #Stories #Kanban #Qlik #Spotfire
Role description
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The Qliksense Engineer will work closely with key stakeholders in both business and IT to help narrate stories with data and visualize insights in a compelling and insightful way that enables business decision-making. As a Qliksense engineer you are a subject matter expert, who designs & builds analytics solutions and mentors junior engineers. You are also the key person to convert the Vison and Data and Analytics Strategies into IT solutions and deliver them.

Must Haves:
• Experience in the IT industry
• Knowledge of and experience with design & prototyping tools
• Expert knowledge in QlikSense & Qlik Cloud Analytics to deliver complex, fast moving datasets to high value trading teams
• Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries
• Skilled at one of the following secondary visualization tools - (at least one of the following – (1) Power BI and Azure Analysis Services (AAS), (2) Spotfire, (3) SAP Analytics Cloud)
• Expert knowledge and application of general and tool specific connectivity, data modelling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout optimization, mobility, scripting and integrating advanced analytics into visualization tools
• Knowledge of upcoming trends in tools and technology
• Familiarity with user-centered design and testing methodologies and usability and accessibility concerns
• Communication Skills to engage technical developers, architects and stake holders
• Must have experience in working with AGILE, KANBAN methodologies. Able to run a sprint

Pluses:
• Gas/Power Trading knowledge - Short-term trading, physical assets trading (CCGT, Wind, Solar, Battery)
• Risk - Modelling & understanding of risk & risk management
• Quantitative Skills - Statistical methods to check and investigate numerical data for practical insights
• Commodity Modelling - Energy (power, gas, environmental products) and meteorology
• Knowledge of cloud data engineering technologies