At a Glance
- Tasks: Design and maintain data pipelines from SAP, focusing on analytics-ready data models.
- Company: Join Slalom, a purpose-led consulting company recognised as one of Fortune’s 100 Best Companies to Work For.
- Benefits: Enjoy competitive pay, meaningful time off, health coverage, and a yearly well-being reimbursement.
- Other info: Dynamic role with travel opportunities and excellent career growth in a supportive environment.
- Why this job: Make a real impact in the renewable energy sector while enhancing your data engineering skills.
- Qualifications: Strong data engineering experience with SAP, advanced SQL skills, and mentoring abilities.
The predicted salary is between 60 - 70 £ per hour.
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honoured to be consistently recognised as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at slalom.com.
Location: Florida (ability to travel to Florida every other week)
Duration: Feb 23, 2026 – June 1, 2026
Hours: 40 hours/week
Role Overview
We are seeking a senior‑level Data Engineer with SAP experience, ideally with exposure to the SAP Plant Maintenance (PM) module, to support an enterprise client in the utilities / renewable energy space. This role will focus on extracting, modeling, and enabling analytics from SAP PM data while partnering closely with SAP functional and data teams. The ideal candidate combines strong data engineering fundamentals, prior SAP experience, and the ability to quickly ramp into new SAP domains while guiding and enabling client data engineers.
What You’ll Do
- Design, build, and maintain data pipelines sourcing data from SAP, with a primary focus on SAP PM.
- Partner with SAP PM functional analysts to translate maintenance concepts and requirements into analytics‑ready data models.
- Extract, transform, and model SAP PM data for reporting and operational insights.
- Ensure data quality, reliability, and performance across SAP‑sourced datasets.
- Provide technical guidance and enablement to client data engineers, including best practices and documentation.
- Collaborate with cross‑functional teams to deliver high‑impact data solutions in a consulting environment.
Required Qualifications
- Strong experience as a Data Engineer on enterprise data platforms.
- Prior hands‑on experience working with SAP data (ECC and/or S/4HANA).
- Advanced SQL skills and experience with analytical data modeling.
- Ability to work closely with SAP functional teams and business stakeholders.
- Experience mentoring, enabling, or upskilling other data engineers.
- Strong communication skills and comfort in a client‑facing role.
Preferred Qualifications
- Direct experience with SAP PM (Plant Maintenance).
- Background in utilities, energy, or renewable energy industries.
- Experience supporting SAP analytics or reporting use cases.
- Willingness to travel to Florida 50%.
Why This Role
This is a high‑impact, short‑term engagement for a senior Data Engineer who enjoys working at the intersection of SAP, data, and analytics, quickly ramping into new domains, and helping client teams become more self‑sufficient.
Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidised health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.
Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $80/hr to $95/hr. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Slalom Flex (Project Based)- SAP Data Engineer in Rochester employer: Slalom
Slalom is an exceptional employer that prioritises the well-being and growth of its team members, offering a supportive work culture enriched by meaningful benefits such as generous time off, comprehensive health coverage, and professional development opportunities. Located in Florida, this role not only allows for impactful contributions in the utilities and renewable energy sectors but also fosters collaboration with talented professionals in a dynamic consulting environment, making it an ideal place for those seeking to advance their careers while making a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Slalom Flex (Project Based)- SAP Data Engineer in Rochester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Slalom or have experience with SAP. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Prepare for the interview by brushing up on your SAP PM knowledge. Be ready to discuss how you've tackled data engineering challenges in the past and how you can bring that expertise to Slalom.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've designed data pipelines or improved data quality. This will demonstrate your hands-on experience and analytical mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the Slalom team and contributing to impactful projects.
We think you need these skills to ace Slalom Flex (Project Based)- SAP Data Engineer in Rochester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with SAP and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data engineering and SAP, and let us know how you can contribute to our team’s success.
Showcase Your Communication Skills:Since this role involves working closely with clients and cross-functional teams, make sure to highlight your communication skills in your application. We love candidates who can explain complex concepts clearly and effectively!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Slalom
✨Know Your SAP PM Inside Out
Make sure you brush up on your knowledge of the SAP Plant Maintenance module. Understand its functionalities and how it integrates with data engineering. Being able to discuss specific use cases or challenges you've faced will show your expertise and readiness for the role.
✨Showcase Your Data Engineering Skills
Prepare to discuss your experience with data pipelines, especially in relation to SAP data. Be ready to explain your approach to extracting, transforming, and modelling data, and how you've ensured data quality and performance in past projects.
✨Communicate Clearly and Confidently
Since this role involves client-facing interactions, practice articulating your thoughts clearly. Use examples from your past experiences to demonstrate your communication skills and how you've collaborated with cross-functional teams.
✨Be Ready to Mentor
Highlight any experience you have in mentoring or enabling other data engineers. Discuss how you've shared best practices and documentation in previous roles, as this will resonate well with the consulting nature of the position.
