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 Reporting & Data Engineering, you will be focused on the data engineering part to manage our data across our SAP estate and the Google Cloud Platform (GCP) to enable accurate and timely reporting and insights across Nomad Foods.
You will have strong skills in SAP Analytics especially hands-on experience of developing in BW/4HANA as you assist us with the move to SAP Business Data Cloud. You will need to learn and understand GCP and the environment we have in place to support it.
You will lead on the gathering of requirements for any additions or changes needed to data requirements ensuring that the solution fits in with the agreed way the Central Data Team wants the data and reporting solution to be.
To deliver certain projects and pieces of work, this role is required to build effective relationships with key contacts in Nomad Foods and 3rd parties so that the team can be augmented to ensure smooth delivery.
Responsibilities
1. Working in the team to ensure the right solution is in place using the technology the right way including SAP Business Data Cloud, SAP BW, and the Google Cloud Platform (GCP)
2. Partnering with the IT Service Partner to develop an Enterprise Data Platform to provide a single version of truth and ensuring minimal movement of data
3. Ensuring best data sources (internal & external) are used along with having the most efficient data pipelines in place
4. Designing data models that support reporting and analytical needs
5. Identifying any data sources that could be useful when doing reporting and insight
6. Working closely with the Revenue Growth Management Team and Commercial Insight Team and any other areas doing reporting and insight
7. Leading the team in the absence of the Head of Reporting & Data Engineering
8. Working with the Data Governance & Master Data Team to highlight any data concerns such as with exporting of data, data quality, using wrong definitions, security, etc.
9. Working with the IT Service Partner to ensure that all data production runs complete successfully, and any issues are dealt with, with the right priority set and suitable communication to the business provided
10. Leading the work with the IT Service Partner to ensure that the Data Model is delivering the data required by the business
11. Optimising data structures for performance
12. Represent the Central Data Team at the Technical Advisory Board (TAB) and Change Advisory Board (CAB)
13. Developing and maintaining development standards in conjunction with the IT Service Partner
14. Leading the testing of any new or changed data items
15. Identifying and testing any upgrades to software
Qualifications
Essential
16. At least 3 years’ experience working in a Data Engineering team or equivalent
17. Strong knowledge of SAP Reporting suite including BW and SAP Analytics Cloud (SAC
18. Good Stakeholder Management skills
19. Strong presentation skills
20. Excellent numerical and analytical skills
21. Strong communication skills (written and verbal)
22. Excellent knowledge of data modelling, including various schemas and their use cases
23. Strong knowledge of SQL
24. Service delivery and improvement mind set
25. Must be a strong team player who can work to a common goal
26. Able to work as part of a small team from a remote location
27. Proactive, works with a sense of urgency, creative about how issues can be resolved, able to think analytically
28. Works collaboratively, constructively challenges, gets key stakeholders “on side”, delivers results through others
29. Problem solving: able to get to the heart of problem and its resolution by asking the right questions and ensuring the right options are explored and followed through to completion
30. Strong attention to detail
Desirable
31. Experience of working with third party delivery organisations
32. Experience of managing a data lake/data warehouse
33. SAP Datasphere
34. Hands on experience of building analytics in SAP BW/4HANA
35. Experience of working with various SAP systems, such as ECC, S/4HANA, C4C, SuccessFactors, etc. as sources for analytics platforms
36. FMCG / CPG experience
37. Knowledge of Google Cloud Platform