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# Sr.Data Engineer

- **Company:** Itemsprovide
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Agile Methodology, Amazon Web Services, Data Analysis, JIRA, Microsoft Azure, Data Governance, Extract Transform Load (ETL), Data Profiling, Data Visualization, Data Warehousing, Decision Support Systems, Python (Programming Language), Software Engineering, SQL Databases, IT Architecture, Data Management, Data Delivery, Programming Languages
- **Published:** September 18, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/srdata-engineer/47428864

## About the Role

leadership, analytical and communication skills with a passion for data-driven decision making and for establishing best practiceLine management experience - able to give feedback and mentor more junior colleagues Qualifications: Experience working with Azure, AWS or Google CloudExperienced in IT architecture and software development lifecyclesExperienced with structured and unstructured dataExperience in combining qualitative and quantitative datasetsExperienced in either programming languages such as Python and/or R, data visualization tools such as TableauExperience working with large datasetsExperience in creation of B/FRDs - Good documentation and communication with the technology team both to provide requirements and understanding of any issues is paramountRelevant experience in data-related topics - data warehousing, data governance, data quality, data profiling, master data management, ETL etc...Data modelling, from contextual through to logical and physical
modelling skillsVery strong Excel, SQL, Python, JIRA skillsExcellent communication skills, structured and organizedExcellent stakeholder and management reporting skillsExperience with project planning and tracking, including agile software i.e. JIRA #J-18808-Ljbffr

## Description

Excellent opportunity Data Engineers for to be part of Cognizant's Intelligent Process Automation practice, It combines advisory services with deep vendor partnerships and integrated solutions to create and execute strategic roadmaps. Key Responsibilities: Gather business requirements, perform detailed analysis, and produce associated functional specifications across multiple functionsArchitect, design, cost and plan solutions that will support delivery teams as those solutions are implemented into live services.Writing SQL or Python/ R scripts to analyse dataDevelop Subject Matter Expertise on the key data elementsResponsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in co-ordination with the Technology team.Ensuring proper development life cycle is followed with artefacts to support Internal Audit and any inquiriesConsult with users and clients to solve complex system issues/problems through in-depth
evaluation of business processes, systems and industry standards and recommends solutionsSupport systems change processes from requirements through implementation and provide input based on analysis of informationConsult with business clients to determine system functional specifications and provides user and operational supportIdentify and communicate risks and impacts, considering business implications of the application of technology to the current business environmentHas the ability to operate with a limited level of direct supervisionDemonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detailWork with Data Governance and Quality teams to understand data issuesWork with various technology leads to ensure the gaps in the data completeness or accuracy are converted into prioritized Book of Work itemsProvide regular updates to senior management in technology, middle office & front officeTraining of relevant teams prior to
go-live of new business processes/products, functionality or applicationsGo-live support, investigation of issues Essential Experience Providing database engineering and data delivery to support during application development, working closely with application teamsData Engineering to ingest, cleanse and collate data from a wide range of internal and external sourcesCreation of reconciliations of data setsBuilding analytical models to support reporting and analyticsCreation of reports and analyticsExperience facilitating workshops and discussions to effectively gather requirements and understand the client's business challengesAble to produce proposed implementation plans for data analysis work, including estimated effort and technical implications of data insight productsAble to review and comment on data models- for example pointing out why models are defective and suggesting improvements.Clear written and verbal communications; able to communicate with a wide range of people.Strong


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