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- Tasks: Lead data engineering efforts using SAP Datasphere and GCP for insightful reporting.
- Company: Join Nomad Foods, a rapidly growing company focused on becoming data-driven.
- Benefits: Enjoy remote work options and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving impactful data solutions in a collaborative culture.
- Qualifications: 3+ years in Data Engineering with strong SAP Datasphere and SQL skills required.
- Other info: Opportunity to work with cutting-edge technology and develop your career in data.
The predicted salary is between 48000 - 72000 £ per year.
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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 Data & Analytics Director, 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 insight across Nomad Foods.
You will have strong skills in SAP Datasphere to ensure we are using this technology to its limits and would have had hands-on experience of developing BW/4HANA. You will need to learn and understand GCP and the environment we have in place so that we are getting the best out of SAP and GCP working together.
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 data and reporting solution to be and a
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
- Working in the team to ensure the right solution is in place using the technology the right way including SAP Datasphere, SAP BW, and the Google Cloud Platform (GCP)
- 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
- Ensuring best data sources (internal & external) are used along with having the most efficient data pipelines in place
- Designing data models that support reporting and analytical needs
- Identifying any data sources that could be useful when doing reporting and insight
- Working closely with the Revenue Growth Management Team and Commercial Insight Team and any other areas doing reporting and insight
- Leading the team in the absence of the Head of Reporting & Data Engineering
- 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.
- Working with the IT Service Partner to ensure that all data 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
- Optimising data structures for performance
- 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
- At least 3 years’ experience working in a Data Engineering team or equivalent
- Strong knowledge of SAP Datasphere including data modelling
- SAP Reporting suite including BW and SAP Analytics Cloud (SAC)
- Excellent numerical and analytical skills
- Strong communication skills (written and verbal)
- Excellent knowledge of data modelling, including various schemas and their use cases
- Strong knowledge of SQL
- Service delivery and improvement mind set
- Able to work as part of a small team from a remote location
- Proactive, works with a sense of urgency, creative about how issues can be resolved, able to think analytically
- Works collaboratively, constructively challenges, gets key stakeholders “on side”, delivers results through others
- 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
- Strong attention to detail
- Experience of working with third party delivery organisations
- Experience of managing a data lake/data warehouse
- Hands on experience of building analytics in SAP BW/4HANA
- Experience of working with various SAP systems, such as ECC, S/4HANA, C4C, SuccessFactors, etc. as sources for analytics platforms
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Senior SAP Data Engineer employer: Nomad Foods
Contact Detail:
Nomad Foods Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SAP Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially SAP Datasphere and Google Cloud Platform. Consider taking online courses or certifications to deepen your understanding and demonstrate your commitment to mastering these tools.
✨Tip Number 2
Network with professionals already working in data engineering roles, particularly those with experience in SAP and GCP. Join relevant LinkedIn groups or forums where you can ask questions and gain insights about the industry and the company culture at Nomad Foods.
✨Tip Number 3
Prepare to discuss your previous experiences in data engineering, focusing on how you've successfully managed data pipelines and collaborated with cross-functional teams. Be ready to share specific examples that highlight your problem-solving skills and ability to deliver results.
✨Tip Number 4
Research Nomad Foods and their current data initiatives. Understanding their business model and how they leverage data for growth will help you tailor your conversations during interviews and show that you're genuinely interested in contributing to their goals.
We think you need these skills to ace Senior SAP Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAP Datasphere, BW/4HANA, and GCP. Use specific examples of projects you've worked on that demonstrate your data engineering skills and your ability to manage data effectively.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Nomad Foods. Discuss how your background aligns with their need for a data-driven approach and mention any relevant experience in building data models and optimising data structures.
Showcase Your Technical Skills: Be sure to include any certifications or training related to SAP technologies and data engineering. Highlight your proficiency in SQL and any experience you have with data governance and quality assurance.
Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your analytical thinking and problem-solving skills. Mention specific challenges you've faced in previous roles and how you successfully resolved them, particularly in a data context.
How to prepare for a job interview at Nomad Foods
✨Showcase Your SAP Expertise
Make sure to highlight your hands-on experience with SAP Datasphere and BW/4HANA during the interview. Be prepared to discuss specific projects where you utilised these technologies, as this will demonstrate your capability to manage data effectively within their systems.
✨Understand GCP Integration
Since the role involves working with Google Cloud Platform, take some time to familiarise yourself with how GCP integrates with SAP. Discuss any previous experiences you have had with cloud platforms and how they can enhance data management and reporting.
✨Emphasise Communication Skills
Strong communication is key in this role, especially when collaborating with various teams. Prepare examples of how you've successfully built relationships with stakeholders or third-party partners in past roles, as this will show your ability to lead and work collaboratively.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in data engineering and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical thinking and proactive approach to problem-solving.
