SAP Principal Consultant - Data

SAP Principal Consultant
- Data

Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water:

• We offer a competitive salary, depending on experience (up to £77,000)
• A company car lease/allowance scheme (£500 per month / £6,000 per year, based on full‑time employment on joining the company). You can opt to sign up to the EV Car Salary Sacrifice Scheme 6 months after joining the company.
• Annual incentive related bonus (up to 10% of annual salary, increasing to 15% in the 26 to 27 performance year).
• Private health care (self only)
• Attractive pension scheme (up to 12% company contribution)
• Life assurance cover of 4 times pensionable salary
• 25 days annual leave plus bank holidays – plus 2 extra wellness days!
• A great benefits package – choose from health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover.
• Retail savings scheme
• Online GP service, cycle to work scheme, gym membership discounts and many more!

Location:
This role will initially be based in Bradford but we’re moving our office to Leeds Valley Park in summer 2026, so you’ll be based there in the future – Hybrid Working (1 day in the office a week – Bradford/Leeds)

Work type:
Permanent. 37 hours per week, Monday
- Friday.

We have an exciting opportunity for a SAP Principal Consultant – Data to join the IT team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers.
Could this be you?

Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, it’s so much more than this.

We look after communities, protect the environment, and plan to look after Yorkshire’s water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the region’s health, wellbeing, and prosperity. New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry.

The IT function is a key part of how we plan to meet the changing expectations of customers and regulators.

The SAP team is part of the IT function and plays a key role in optimising and transforming our SAP applications and associated Enterprise Systems. We support business areas such as Finance, HR, Procurement, Capital Delivery and Asset Maintenance/Management. Our team consists of functional and technical consultants, along with support related roles in Project Management, Business Analysis and Service Management. The SAP Data Principal Consultant will play a key role in the SAP Data & Analytics team driving business change and being a subject‑matter expert for the technology within this space.

• Partner with SAP Functional and Technical Consultants to drive and embed robust data governance principles across a complex SAP landscape.
• Lead data‑focused work streams across multiple projects, taking ownership of the end‑to‑end design, build and execution of data migration activities.
• Collaborate closely with business stakeholders to understand requirements, provide expert guidance and translate business needs into effective technical solutions.
• Apply deep expertise across SAP S/4
  
  HANA and SAP Cloud solutions, including Success Factors, Concur and Ariba, with a strong understanding of data models, master data and end‑to‑end transactional processes.
• Champion data quality, integrity and compliance by promoting best practice in Data Governance, Data Protection and information management.

• Strong understanding of data migration tools and methodologies, such as SAP Migration Cockpit, BODS, LSMW, or third‑party ETL tools.
• Strong grounding in data architecture, data modelling, data cleansing and data…