At a Glance
- Tasks: Lead a team of Data Engineers and shape the engineering roadmap for a major hospitality client.
- Company: Join Silverbullet, a boutique partner in data, technology, and customer marketing activation.
- Benefits: Competitive salary, career growth opportunities, and the chance to work with top brands.
- Other info: Dynamic environment focused on collaboration and delivering meaningful outcomes.
- Why this job: Make a real impact by building data infrastructure for one of the UK's most loved brands.
- Qualifications: Strong SQL skills, experience with Databricks, and proven leadership in data engineering.
The predicted salary is between 70000 - 90000 £ per year.
The opportunity
We're hiring a Lead Engineer to run the engineering function on our largest hospitality client — a household UK brand operating across 2,700+ venues — and to manage a team of six Data Engineers working across Databricks and Treasure Data. This is a senior technical leadership role. You will own the engineering roadmap across both platforms, set the bar for how we design and ship, and be the person clients trust when things get hard. You will also shape the standards, tooling and career development for one of our most critical pods.
The work speaks for itself: a Single Customer View built on Treasure Data, advanced analytics and ML in Databricks, and real-time omnichannel activation through Braze. The programme consistently beats its commercial targets — YoY by an average of over 34% across the last two years. Your job is to keep it doing that, and to find the next gear.
What you'll do
- Lead the engineering roadmap across Databricks and Treasure Data for our largest hospitality client — setting technical direction, quality bars and delivery cadence.
- Manage, coach and grow a team of six Data Engineers — unblock daily work, run 1:1s, own career development, and set standards for code review, testing and on-call.
- Shape solution design and effort scoping on new workstreams — partnering with Solution Architects, Strategic Services and Client Delivery to translate business problems into technical proposals clients can buy into.
- Act as the senior technical voice in client conversations — presenting architecture, defending trade-offs, and telling clients what needs to happen, not just what they want to hear.
- Drive DevOps and engineering excellence — CI/CD, infrastructure-as-code, observability, environment management and secure, repeatable deployments across both platforms.
- Partner cross-pod with Customer Activation, Data Science & Analytics, Marketing Automation and Full Stack Development — because we win as One Silverbullet, not as siloed teams.
- Own technical quality and production stability — you're the last line of defence before something goes wrong, and the first person we look to when it does.
Your skills and experience
- Strong, hands-on SQL expertise — including deep experience with CDPs that are SQL-native. Treasure Data is a significant advantage; exposure to mParticle, Tealium, Segment or Salesforce CDP will translate.
- Production-grade PySpark / Databricks experience — building scalable data pipelines, optimising performance, and operating Delta Lake / Lakehouse architectures in a real production environment.
- Solid DevOps craft — CI/CD pipelines, Git-based workflows, infrastructure-as-code (Terraform or similar), monitoring, alerting, and calm handling of production incidents.
- Proven experience leading a data engineering team — not just senior IC work. You've managed people, set standards, and grown engineers into stronger engineers.
- A consulting mindset — comfortable client-facing, able to translate technical concepts for non-technical stakeholders, and confident running a workshop or defending a design in a steering committee.
- Solid solution design and effort scoping — you can take a loose business problem, shape it into an architecture, break it into deliverables, and put a credible number against it.
Nice to have
- Experience with MarTech / CRM activation platforms — Braze, Salesforce Marketing Cloud, Talon.One, Hightouch, LiveRamp.
- Background in consumer-facing sectors — hospitality, travel, retail, CPG or media.
- Cloud platform certifications — AWS preferred; Azure or GCP equally welcome.
- Familiarity with GDPR, consent management and data governance in a marketing context.
- Exposure to AI / ML use cases applied to customer data — personalisation models, churn prediction, LTV, next-best-action decisioning.
Why this role matters
This client is one of the most meaningful engagements in our portfolio — and the work has a direct line to our 2026 company objectives around revenue growth, gross margin and employee retention. The data and MarTech infrastructure you lead will profile, model and engage millions of customers in near real-time. You will join a business that is trading profitably for the first time in its history, in a pod that is central to that story, reporting to the Head of Technology and Product with the backing of One Silverbullet — not a fragmented capability team.
If you want to build the Intelligence Layer for one of the UK's most loved hospitality brands — and grow a team of engineers while you do it — we'd like to talk.
TEAM 6 Data Engineers
REPORTS TO Head of Technology & Product
About Silverbullet
Silverbullet is a specialist boutique partner at the intersection of data, technology and customer marketing activation. We are not a full-service agency. We are not a technology vendor. We are the team brands and partners bring in when the gap between ambition and production needs closing. We work with some of the world's most recognisable brands — Heineken, Mars, Sony, easyJet, ITV and Flight Centre among them — building the data infrastructure, MarTech and CRM systems that power intelligent customer experiences. We don't sell outputs. We sell outcomes. And when we walk in, we tell clients what needs to happen — not what makes the most impressive slide. “We win as One Silverbullet, or not at all. Our value multiplies every time the data, tech, CRM and activation teams refer and build together.”
Senior Data Engineer in City of London employer: Silverbullet
Contact Detail:
Silverbullet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering. When you get that interview, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for the technical grill! Brush up on your SQL and PySpark skills, and be ready to tackle some real-world problems during interviews. Practising common data engineering scenarios can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by the hiring team.
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your hands-on SQL expertise and experience with Databricks and Treasure Data. We want to see how your skills align with our needs!
Showcase Leadership Experience: Since this is a senior role, it's crucial to demonstrate your experience in leading teams. Share specific examples of how you've managed and grown engineers, and how you’ve set standards for code quality and delivery.
Be Client-Focused: We love candidates who can translate technical jargon into layman's terms. In your application, mention any experience you have in client-facing roles and how you've successfully communicated complex ideas to non-technical stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother 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 Silverbullet
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL, Databricks, and Treasure Data. Brush up on your production-grade PySpark skills and be ready to discuss how you've built scalable data pipelines. The interviewers will want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Leadership Skills
Since this is a senior role, be prepared to share examples of how you've managed and grown a team of Data Engineers. Talk about your experience in setting standards for code reviews and how you’ve coached your team through challenges. They’ll be looking for someone who can inspire and lead effectively.
✨Prepare for Client Conversations
You’ll need to act as the technical voice in client discussions, so practice explaining complex concepts in simple terms. Think about how you would present architecture or defend trade-offs to non-technical stakeholders. This will show that you can bridge the gap between tech and business.
✨Understand the Business Impact
Familiarise yourself with how your work will contribute to the company’s objectives, especially around revenue growth and customer engagement. Be ready to discuss how you can help maintain the programme's success and find new opportunities for improvement. This shows you’re not just a techie but also a strategic thinker.