data engineer in banking

specialization are neededTrain, guide, and coach less experienced specialistsProvide information affecting long-term profits, organizational risks, and strategic decisionsAdvise functional leadership teams and senior management on functional and cross-functional impacts and alignmentManage and mitigate risks through assessment in support of the control and governance agendaDemonstrate leadership and accountability for managing risk and strengthening controlsCollaborate with other work areas to stay aligned with business activity and strategiesCreate solutions by comparing and selecting complex alternativesApply extensive research to problem-solving processesBuild and maintain trusting relationships and partnerships with internal and external stakeholdersТребованияExperience with cloud data warehousing solutions such as Snowflake, Amazon Redshift, or AWSUnderstanding of data integration processes and tools such as Databricks, DBT, or GlueAbility to design data models aligned with ETL

pipelinesUnderstanding of data management standards, regulatory compliance including GDPR and HIPAA, and security protocolsDeep knowledge of entity-relationship modeling, normalization and denormalization, and dimensional modelingProficiency with data modeling tools such as erwin Data Modeler, SAP PowerDesigner, or ER/StudioAdvanced SQL skills, including DDL and DMLAbility to profile, analyze, and manipulate data in relational database management systemsAbility to translate complex business requirements into structured, efficient, and scalable data modelsAbility to ensure data integrity and optimize database performance through indexing and partitioningExcellent verbal and written communication skills for explaining technical data concepts to non-technical stakeholdersExperience working in agile teams with data engineers, architects, and business analystsAbility to demonstrate risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology skillsNice to have: Experience guiding team members, training and coaching less experienced specialists, and advising senior stakeholdersУсловияOffice role in Glasgow. #J-18808-Ljbffr

ОписаниеBarclays is a banking and financial services organization that transforms complex data into strategic assets supporting innovation, regulatory compliance, advanced analytics, and AI.ЗадачиBuild and maintain data architecture pipelines for transferring and processing durable, complete, and consistent dataDesign and implement data warehouses and data lakes that handle required data volumes and velocity while meeting security measuresDevelop processing and analysis algorithms for the intended data complexity and volumesCollaborate with data scientists to build and deploy machine learning modelsContribute to or set strategy, drive requirements, and recommend changesPlan resources, budgets, and policiesManage and maintain policies and processesDeliver continuous improvements and escal…Guide technical direction as a subject matter expert within the disciplineLead collaborative, multi-year assignmentsGuide team members through structured assignmentsIdentify when additional areas of