At a Glance
- Tasks: Lead data engineering teams and shape AI strategies for a top home improvement marketplace.
- Company: Join a fast-paced digital business focused on innovation and growth.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Make a real impact by transforming data into smarter customer experiences.
- Qualifications: Experience in leading data organisations and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
It’s not about ticking every box. It’s about turning up curious, ready to crack on. You’ll do well here if you bring:
- Deep experience leading data organisations, specifically scaling data engineering teams and modern platforms in fast-paced digital businesses.
- A collaborative, roll-up-your-sleeves attitude with the technical depth to guide strategic architecture decisions and build credibility with engineers.
- Strong communication skills and the ability to translate complex data roadmaps into clear business value for non-technical stakeholders.
- Confidence with modern data stacks (AWS focus), data governance, and the infrastructure required to run AI and ML at scale.
What the job involves:
- As our next Senior Engineering Manager, you’ll play a key role in helping us build the UK’s go-to home improvement marketplace. From shaping the strategy and platform that powers our AI era to building trusted data products that drive smarter customer journeys, your work will help millions of homeowners find the right tradesperson for the job - fast, fair, and without the faff.
- Delivering a world-class Data & AI strategy that aligns our platform evolution with ambitious company growth goals.
- Leading and scaling high-performing Data Engineering teams, establishing the rhythms and discipline needed for elite delivery and accountability.
- Owning the data platform and architecture, ensuring our AWS-based foundations are robust, secure, and ready for the next stage of our growth.
- Building the foundations for AI in production, including reusable data products, reliable pipelines, and governed access patterns.
- Partnering with senior leaders across Product, Tech, and Commercial to unlock opportunities in machine learning, automation, and advanced analytics.
- Driving a culture of data-led decision-making, ensuring every data initiative is connected to real-world customer and commercial outcomes.
Senior Data Platform & AI Leader (AWS) employer: Checkatrade
As a Senior Data Platform & AI Leader at our innovative home improvement marketplace, you'll thrive in a dynamic environment that champions curiosity and collaboration. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and the chance to lead high-performing teams in shaping the future of data and AI. Located in the heart of the UK, our company provides a unique opportunity to make a tangible impact on millions of homeowners while enjoying a flexible and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform & AI Leader (AWS)
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, participate in hackathons or data challenges. This not only showcases your technical chops but also demonstrates your collaborative spirit and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by practising how to explain complex data concepts in simple terms. Remember, you’ll need to communicate effectively with non-technical stakeholders, so make sure you can translate your expertise into clear business value.
✨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, it shows you’re genuinely interested in being part of our team and contributing to our mission.
We think you need these skills to ace Senior Data Platform & AI Leader (AWS)
Some tips for your application 🫡
Show Your Curiosity:We want to see that you're genuinely curious about the role and our mission. Don’t just list your experience; share how your journey has shaped your understanding of data platforms and AI. Let us know what excites you about this opportunity!
Be Clear and Concise:When you’re writing your application, keep it straightforward. We appreciate strong communication skills, so make sure you can translate your complex experiences into clear, relatable terms. Remember, we’re looking for someone who can bridge the gap between tech and business!
Highlight Your Leadership Style:As a Senior Engineering Manager, your leadership style matters. Share examples of how you've led teams in fast-paced environments. We love a collaborative spirit, so let us know how you roll up your sleeves and get involved with your team.
Tailor Your Application:Make sure your application speaks directly to the job description. Highlight your experience with AWS and modern data stacks, and connect your past achievements to the goals we have at StudySmarter. And don’t forget, apply through our website for the best chance!
How to prepare for a job interview at Checkatrade
✨Show Your Curiosity
Turn up to the interview ready to ask questions and engage in discussions. Demonstrating your curiosity about the company’s data strategy and how they leverage AWS will show that you’re genuinely interested and ready to contribute.
✨Highlight Your Leadership Experience
Be prepared to discuss specific examples of how you've led data engineering teams in fast-paced environments. Share stories that showcase your collaborative attitude and how you’ve guided teams through strategic architecture decisions.
✨Communicate Clearly
Practice translating complex technical concepts into simple terms. You’ll need to demonstrate your ability to communicate effectively with non-technical stakeholders, so think of examples where you’ve successfully done this in the past.
✨Demonstrate Your Technical Knowledge
Brush up on modern data stacks, especially those related to AWS. Be ready to discuss your experience with data governance and how you’ve built infrastructure for AI and ML at scale. This will help build your credibility with the interviewers.
