{"id":2080046,"url":"https://alion.io/job/barclays-data-engineer-8","title":"Data Engineer","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":219,"ghost_share":0.014,"stale_share":0.26,"repost_share":0.128,"time_to_fill_p50_days":14,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"ITIL","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Oracle","optional":false},{"name":"QlikSense","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Windows Server","optional":false},{"name":"PowerShell","optional":true},{"name":"Python","optional":true},{"name":"SAP BusinessObjects","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-08T09:53:50Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T02:47:50Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description\nPurpose of the role\nTo build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.\nAccountabilities\nBuild and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.\nDesign and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.\nDevelopment of processing and analysis algorithms fit for the intended data complexity and volumes.\nCollaboration with data scientist to build and deploy machine learning models.\nAnalyst Expectations\nTo perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.\nRequires in-depth technical knowledge and experience in their assigned area of expertise\nThorough understanding of the underlying principles and concepts within the area of expertise\nThey lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.\nIf the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.\nOR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.\nWill have an impact on the work of related teams within the area.\nPartner with other functions and business areas.\nTakes responsibility for end results of a team’s operational processing and activities.\nEscalate breaches of policies / procedure appropriately.\nTake responsibility for embedding new policies/ procedures adopted due to risk mitigation.\nAdvise and influence decision making within own area of expertise.\nTake ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.\nMaintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.\nDemonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.\nMake evaluative judgements based on the analysis of factual information, paying attention to detail.\nResolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.\nGuide and persuade team members and communicate complex / sensitive information.\nAct as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.\nAll colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.\nJoin us as a Data Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences.\nSenior Qlik Administrator / Designer Responsibilities\nQlik Platform Administration & Support\nInstall, configure, administer, and maintain Qlik Sense and QlikView environments, including single-node and multi-node deployments.\nManage platform upgrades, migrations, patching, and lifecycle management of QlikView and Qlik Sense environments.\nMonitor server health, capacity, CPU utilization, memory consumption, and overall platform performance.\nAdminister Qlik Management Console (QMC), user access, security rules, streams, licenses, tasks, and triggers.\nTroubleshoot and resolve platform issues related to application performance, data reload failures, security, access management, and system stability.\nMaintain server logs, platform backups, disaster recovery processes, and operational documentation.\nSynchronize content, applications, and users across Qlik environments.\nCollaborate with infrastructure and security teams to establish and maintain user management and security policies.\nEnsure platform availability, operational stability, and compliance with enterprise standards.\nQlik Application Development & Dashboard Design\nDesign, develop, and maintain enterprise-grade dashboards, reports, and analytical applications using QlikView and Qlik Sense.\nWork closely with business stakeholders to gather requirements and translate them into scalable analytics solutions.\nDevelop optimized data models, ETL scripts, and reusable reporting frameworks.\nCreate interactive visualizations, KPIs, scorecards, and executive dashboards to support decision-making.\nPerform application tuning and optimization to improve dashboard performance and user experience.\nSupport application releases, migrations, and production deployments.\nData Integration & Snowflake Administration\nIntegrate Qlik applications with various enterprise data sources, including Snowflake, AWS S3, Oracle, SQL Server, MongoDB, and other databases.\nManage bulk data loading and unloading activities using Snowflake COPY commands.\nHandle structured and semi-structured data formats such as JSON, CSV, ORC, and PARQUET.\nDevelop and manage Snowpipe for continuous data ingestion from AWS S3.\nCreate and maintain Snowflake stored procedures, cloning strategies, and data transformation processes.\nUtilize Snowflake capabilities such as COPY, LIST, PUT, GET, FLATTEN, and zero-copy cloning.\nSupport data warehouse optimization and data integration initiatives across multiple source systems.\nService Management & Stakeholder Engagement\nSupport mission-critical BI platforms and ensure availability of reporting services for global business users.\nManage day-to-day platform operations, incidents, service requests, problems, and change activities.\nCoordinate with development teams, vendor partners, infrastructure teams, and business stakeholders for onboarding, migration, releases, and platform enhancements.\nConduct root cause analysis and implement permanent fixes for recurring issues.\nParticipate in incident triage and support major incident management activities.\nDrive operational automation and continuous service improvement initiatives.\nEnsure adherence to enterprise governance, security, DevOps, and Agile delivery standards.\nMandatory Skills\nQlik Technologies\nStrong experience in QlikView and Qlik Sense Administration and Development.\nHands-on expertise in installation, configuration, migration, upgrade, and support of Qlik environments.\nExperience administering QMC, security rules, task scheduling, streams, licenses, and user access management.\nStrong experience in dashboard development, data modeling, and Qlik scripting.\nData & Database Technologies\nExperience working with Snowflake Data Warehouse.\nStrong understanding of AWS S3 integration with Snowflake and Qlik platforms.\nHands-on experience handling JSON, CSV, PARQUET, and ORC data formats.\nStrong SQL and PL/SQL skills.\nExperience working with Oracle, SQL Server, MongoDB, and other relational/non-relational databases.\nInfrastructure & Platform Skills\nGood understanding of Windows Server environments and platform administration.\nStrong networking fundamentals including SSL Certificates, Load Balancers, DNS, IP routing, and security concepts.\nExperience with Linux/Unix operating systems.\nFamiliarity with enterprise scheduler tools such as Tivoli, Autosys, or equivalent.\nUnderstanding of CI/CD pipelines, deployment automation, and DevOps practices.\nService Management\nExperience supporting enterprise BI platforms in production environments.\nStrong troubleshooting and incident management experience.\nKnowledge of ITIL processes including Incident, Problem, Change, and Event Management.\nExcellent communication, stakeholder management, and documentation skills.\nDesirable Skills\nExperience with Qlik NPrinting administration and report distribution.\nExperience supporting SAP BusinessObjects (BO) and Tableau platforms.\nKnowledge of Qlik Cloud / Qlik Sense SaaS environments.\nExperience with AWS cloud services and cloud-native data architectures.\nFamiliarity with Infrastructure as Code (IaC) and automation scripting using PowerShell, Python, or Shell scripting.\nExposure to Agile, Lean Control Frameworks, and DevOps operating models.\nExperience working in large-scale enterprise environments supporting global business users.\nRelevant certifications in Qlik, Snowflake, AWS, or Data Engineering technologies.\nPreferred Experience\n 7+ years of experience in BI Platform Administration and Analytics Solutions.\nProven experience in enterprise-scale Qlik platform support, migration, and modernization initiatives.\nAbility to manage both platform administration and dashboard development responsibilities.\nExperience working with global stakeholders, vendor teams, and cross-functional delivery organizations.\nYou may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. 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