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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.
Competitive salary, company car, up to 25% bonus and excellent benefits package
We have an exciting opportunity for a Senior SAP Data Engineer to join our Central Data Team at a time of significant transformation. As the business continues to grow at pace, Nomad Foods is accelerating its journey toward becoming a data‑driven organisation. This role plays a critical part in managing and optimising our data landscape across SAP and Google Cloud Platform (GCP) to ensure accurate, timely and scalable reporting and insights.
If you have deep expertise in SAP Analytics, hands‑on BW/4HANA experience and the ability to design high‑quality data models and pipelines, this is an outstanding opportunity to influence the future of data at Nomad Foods.
About the Role
Reporting to the Head of Reporting & Data Engineering, you will focus on data engineering across SAP and GCP, ensuring the right data foundations, pipelines and models are in place to support reporting and insight generation. You’ll work closely with internal stakeholders and third‑party partners to deliver enhancements, ensure data quality and drive continuous improvement.
This role also requires strong collaboration with key commercial and insight teams to understand business needs, translate them into data requirements, and deliver effective technical solutions.
Key Responsibilities
- Develop and optimise data models and pipelines using SAP Business Data Cloud, SAP BW and Google Cloud Platform.
- Partner with the IT Service Partner to build a scalable Enterprise Data Platform and minimise unnecessary data movement.
- Identify and use the best internal and external data sources to support reporting and analytics.
- Lead requirements gathering for new data features or changes, ensuring alignment with Central Data Team standards.
- Work closely with Commercial Insight, RGM, Master Data and Business Analyst teams to enable high‑quality reporting and insights.
- Support and occasionally lead the team in the absence of the Head of Reporting & Data Engineering.
- Oversee data production runs, ensuring issues are prioritised and communicated effectively.
- Represent the Central Data Team at Technical Advisory Board (TAB) and Change Advisory Board (CAB) meetings.
- Maintain and enforce development standards alongside the IT Service Partner.
- Lead testing of new or updated data items and support software upgrades.
What We’re Looking For
- Minimum 3 years’ experience working in a Data Engineering or similar role.
- Strong knowledge of SAP Reporting Suite (BW, SAC) and data modelling principles.
- Hands‑on SAP BW/4HANA experience (desirable).
- Strong SQL skills and excellent analytical capability.
- Experience working with SAP ECC, S/4HANA, C4C or SuccessFactors as data sources (desirable).
- Familiarity with Google Cloud Platform (highly beneficial).
- Strong communication, stakeholder management and presentation skills.
- Ability to work collaboratively across functions and with external partners.
- Proactive mindset, strong attention to detail and ability to solve complex problems.
What we can offer You:
We’re on an exceptional adventure and offer a truly purpose led career and we aim to empower each employee and promote their personal growth all the while ensuring business needs are met now and into the future.
- An ambitious employer with recognized brands and growth potential
- A culture where your part of a team, where you feel encouraged to make a difference
- The potential to progress your career across different areas of the Nomad Foods Group
Who are we:
Headquartered in the UK, with revenues of €3.2 billion and operations in 22 key markets, Nomad Foods is Europe’s leading frozen food company. We are a young company, founded only eight years ago, and built around a number of iconic brands (including Birds Eye, Findus and iglo and more recently Ledo and Frikom) that invented the frozen category 100 years ago and continue to set the bar for great taste, nutrition, convenience and affordability. Across everything we do, we are guided by our Purpose – Serving the World with Better Food – and how we can make a positive impact on our Performance, People and the Planet.
At Nomad Foods we’re proud to represent the world we serve by hiring diverse talent. Our inclusive culture is all about what we can achieve together.
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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.