Senior Data Engineering Manager
3 weeks ago
Overview
It is an exciting time to join Nomad Foods. Due to the high growth of the business, Nomad Foods has a desire to become more data driven.
Reporting into the Head of Data Engineering, you will be part of a team for managing the Google Cloud Platform and managing a Data Lake to enable insight across Nomad Foods.
As part of the Data Engineering Team, this role will work with the Commercial Insight Team and any other teams doing insight to ensure they are using the right tools, have the right data, and the right definitions to do the insight they require.
You will lead on the gathering of requirements for any additions or changes needed to the data stored on the Google Cloud Platform.
In order to deliver certain projects, this role is required to build effective relationships with 3rd parties / contractors so that the team can be augmented to ensure smooth delivery.
Responsibilities
Working in the team to push the use of the Google Cloud Platform (GCP). Partnering with the IT Service Partner to develop the Data Lake to move to a single version of truth. Ensuring consolidation of data sources (internal & external) in the Data Lake. Identifying any data sources that could be useful when doing insight. Working closely with the Commercial Insight Team and any other areas doing insight. Leading the team in the absence of the Head of Data Engineering. Working with the Data Governance & Master Data Team to highlight any data concerns such as with exporting of data, using wrong definitions, security, etc. Working with the IT Service Partner to ensure that all GCP production runs complete successfully, and any issues are dealt with the right priority set and suitable communication to the business provided. Leading the work with the IT Service Partner to ensure that the Data Model is delivering the data required by the business. Developing and maintaining development standards in conjunction with the IT Service Partner. Leading the testing of any new or changed data items. Identifying and testing any upgrades to software.
Qualifications
Essential:
At least 3 years’ experience working in a Data Engineering team or equivalent.Desirable:
Experience of working with third party delivery organisations. Experience of managing a data lake/data warehouse.-
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