Nationwide has recently launched a new data strategy which will transform the way the society thinks about, values and manages its data.
As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset.
This role will initially focus on delivering, embedding and the evolving a DevOps toolchain to underpin and accelerate our Agile first approach to data solutions delivery.
Additionally, the role will also be accountable for delivering efficiency savings across the delivery spectrum through the adoption and use of automation tooling and best practise as part a drive towards reducing the cost of change.
Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-
edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
Who we're looking for
In addition to having and inquisitive mindset with a passion for innovation, you will also :
It would be nice if you also had :
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient.
Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse.
Working with the designers and engineers you will be continuously looking for further ways to adopt automation and improve efficiency in the ways of working which reduce the cost and increase the pace of delivery.
In essence, you will be working as part of the team to create the machine that builds the machine .