Join us a Data Engineering Lead at Barclays, where you will support data platforms modernisation and transformation for consumer risk data systems, across Barclays UK Risk portfolio. If you have experience leading data integration and building analytical data platforms on enterprise data technologies like Hadoop, AWS cloud platform, or the like in an Agile working environment, then this role is for you.
To be successful as a Data Engineering Lead, you should have:
Deep understanding and experience in Consumer Banking data domain, preferably Credit Cards, Current Accounts, Consumer Lending
Deep understanding of Large-scale Data Technologies - enterprise data warehousing (EDW), business intelligence (BI), data integration / ETL (Extract, Load, Transform) tools and technologies
Deep understanding of data modelling, enterprise data lifecycle with an appreciation of consumer risk domain identifying differences between operational data processing ('OLTP') vs analytical data processing ('OLAP')
Additional skills include:
Appreciation of proprietary technologies such as Apache, Cloudera Hadoop, SAS (Statistical Analytic Systems) and their use in Banking
Appreciation of change management delivery methodologies in Waterfall, Agile, SDLC (Software Development Lifecycle) and any project management exposure
Working with teams of diverse skills such as Architecture & Design, Business Analysis, Development and Support teams in a large team setting
You 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.
This role is based out of Northampton.
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