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- Tasks: Lead data engineering initiatives and mentor a high-performing team.
- Company: Reward, a leader in customer engagement and commerce media.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a purpose-driven company making everyday spending more rewarding.
- Qualifications: Proven experience in data engineering and strong leadership skills.
- Other info: Be part of a rapidly growing tech scale-up with a mission to innovate.
The predicted salary is between 72000 - 108000 £ per year.
About Reward Founded in 2001, Reward is an industry leader transforming the world of customer engagement and commerce media. Operating in 15 countries across Europe, Middle East and Asia, Reward’s cloud-based API platform integrates content, advertising, and commerce to deliver exceptional experiences for consumers resulting in increased customer engagement, retention, and overall satisfaction. Reward’s Loyalty-tech platform is behind many award-winning bank loyalty programmes seen today from brands such as Visa, NatWest Group, Barclays, and First Abu Dhabi Bank to name a few. Reward also works with the world’s largest retailers such as McDonald’s, eBay, Deliveroo and Amazon. Their leading commerce media platform fuses purchase insights with loyalty-tech, offering an unparalleled edge in digital advertising and performance marketing for retailers. Leveraging rich data and insights, the Reward platform provides a comprehensive view of consumer behaviour, empowering retailers to target marketing messages more effectively, resulting in independently verified sales uplift and long-term customer lifetime value. Beyond bridging the gap between content and commerce, Reward is a purpose driven business. Their mission is to make everyday spending more rewarding. During the last 5 years, Reward has proudly given back more than $1 billion in cashback rewards to consumers world-wide. Most recently, Reward’s rapid growth was recognised in The Independent’s E2ETech100 list of fastest growing tech scale-ups in the UK. Reward, in conjunction with partners NatWest Group, was also awarded the Industry Achievement Award 2023 at the prestigious Card and Payments Awards.
Role Summary We are seeking an experienced Principal Data Engineering Manager to lead our Data Engineering function and drive delivery excellence across complex, enterprise-scale data initiatives. This strategic role blends technical leadership, people management, and delivery oversight to ensure the development of high-quality, scalable, and compliant data solutions. You will build and mentor a high-performing team, guide technical direction, and ensure alignment between data engineering capabilities and business objectives.
Responsibilities Leadership
Principal Data Engineering Manager employer: Reward
Contact Detail:
Reward Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Principal Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Data Engineering Manager role. Highlight your relevant experience and skills that align with what we’re looking for. Use keywords from the job description to show you understand the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how your background makes you a perfect fit for our team. Don’t forget to mention why you want to work with us at Reward!
Showcase Your Achievements: When detailing your experience, focus on your achievements rather than just responsibilities. Use metrics and examples to demonstrate how you've driven success in previous roles. We love seeing tangible results!
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 any important updates from us!
How to prepare for a job interview at Reward
✨Know Your Data Inside Out
As a Principal Data Engineering Manager, you’ll need to demonstrate your expertise in data solutions. Brush up on the latest trends in data engineering, especially those relevant to customer engagement and commerce media. Be ready to discuss specific projects where you've successfully implemented scalable data solutions.
✨Showcase Your Leadership Skills
This role requires strong leadership abilities. Prepare examples of how you've built and mentored high-performing teams in the past. Think about challenges you've faced in team dynamics and how you resolved them, as this will show your capability to lead effectively.
✨Align with Their Mission
Reward is a purpose-driven business focused on enhancing customer experiences. Familiarise yourself with their mission and values, and be prepared to discuss how your personal values align with theirs. This will show that you're not just a fit for the role, but also for the company culture.
✨Prepare for Technical Questions
Expect to face technical questions that assess your knowledge of data engineering principles and practices. Review key concepts related to cloud-based platforms, API integrations, and data compliance. Practising problem-solving scenarios can also help you articulate your thought process during the interview.
