Working with M&G Prudential as a Data Engineer means becoming part of a brand with a global reputation and an exciting vision: to be the most loved and most successful saving & investments business.
The forthcoming planned de-merger of M&G Prudential from the Prudential Group PLC provides a terrific opportunity to create a truly international and integrated savings and investments firm. A firm built on a rich and long history and with a commitment to an innovative future centred on the needs of customers and clients. There is a genuine opportunity to drive competitive advantage with value creation through the formation of this new organisation.
If you're inspired to join us, and have the necessary qualities, then this could be the opportunity you've been looking for.
Data Engineers at M&G Prudential;
Implement data flows to connect operational systems, data for analytics and BI systems
Document source-to-target mappings
Re-engineer manual data flows to enable scaling and repeatable use
Support the build of data streaming systems
Write ETL scripts and code to make sure the ETL process performs optimally
Develop business intelligence reports that can be re-used
Build accessible data for analysis
Location: Edinburgh, Reading or London
Is aware of the need to translate technical concepts into non-technical language and understands what communication is required to internal and external stakeholders
Undertakes data profiling and source system analysis and can present clear insights to colleagues to support the end use of the data
Designs, builds and tests data products based on feeds from multiple systems using a range of different storage technologies and/or access methods. Creates repeatable and reusable products
Delivers data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future-proof
Understands the concepts and principles of data modelling and is able to produce, maintain and update relevant data models for specific business needs. Reverse engineers data models from a live system.
Understands core technical concepts related to their role and is able to apply them with guidance
Aware of opportunities for innovation with new tools and uses of data
Works with metadata repositories to complete complex tasks such as data and systems integration impact analysis. Maintains a repository to ensure information remains accurate and up to date
Aware of the types of problems in databases, data processes, data products and services
Internal Number: 5667420
About M&G Prudential
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