Data Engineer

Location: London, Grays Inn Road Full time/Permanent/Hybrid #LI-Hybrid #LI-EH2 #LI-KantarMedia * This is a full-time permanent position, based in our London office. We operate on a hybrid working arrangement and require a minimum of 2 days in the office. We welcome all applications from those with the legal right to live and work permanently in the UK, without requiring VISA sponsorship now or in the future.Role Description In a challenging environment it is essential that new and existing services process and deliver reliable and consistent information. The role of the Service QA Analyst is to understand and assess the data processing touchpoints with the objective of ensuring both initial and ongoing quality levels. The role requires developing familiarity with configuration options, data inputs, processing and the expectations of data consumers within the pipeline including and in particular, output.The Data Analyst will work with other team members on specified service deliveries and report to the appropriate Work Stream lead. Data assessments will be conducted using guidelines developed by both by the analyst team and the Data Science group.Tasks and Responsibilities * Understand overall architecture and function of Kantar Audience Measurement systems Develop functional knowledge of individual components Review and assess data inputs and outputs against service requirements Understand component and system configuration requirements for a service Contribute to developing tools and processes for checking and measuring service correctness Analyse and identify problems and assist in understanding causes and fixesProfile/Skills** The role will require a degree of technical knowledge to allow navigation of systems and assessments using IT tools. Familiarity with IT environments and data processing Ability to identify, describe and communicate issuesDatabase and SQL knowledge Python or similar skills (basic/intermediate)Experience with cloud based systems and processing – in particular AzureExperience with examining and understanding data processing issues (e.g. testing) Knowledge of Linux systems, shell scripting and command line and file based systemsKnowledge of Cloud based environments and processing (e.g. Azure), storage explorer etc. Experience with media research – particularly TV, Internet or Radio audience measurement.
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