Senior Data Engineer

Senior Data Engineer

Full-Time 70000 - 90000 Β£ / year (est.) No home office possible
Silverbullet

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 innovative solutions.
  • Why this job: Make a real impact by building data infrastructure for one of the UK's most loved brands.
  • Qualifications: Strong SQL and PySpark skills, plus experience leading data engineering teams.

The predicted salary is between 70000 - 90000 Β£ per year.

The opportunity

We're hiring a Lead Engineer to run the engineering function on our largest hospitality client β€” a household UK brand operating across 2,700+ venues β€” 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 β€” 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 β€” setting technical direction, quality bars and delivery cadence.
  • Manage, coach and grow a team of six Data Engineers β€” 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 β€” 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 β€” presenting architecture, defending trade-offs, and telling clients what needs to happen, not just what they want to hear.
  • Drive DevOps and engineering excellence β€” 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 β€” because we win as One Silverbullet, not as siloed teams.
  • Own technical quality and production stability β€” 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 β€” 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 β€” building scalable data pipelines, optimising performance, and operating Delta Lake / Lakehouse architectures in a real production environment.
  • Solid DevOps craft β€” 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 β€” not just senior IC work. You've managed people, set standards, and grown engineers into stronger engineers.
  • A consulting mindset β€” 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 β€” 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 β€” Braze, Salesforce Marketing Cloud, Talon.One, Hightouch, LiveRamp.
  • Background in consumer-facing sectors β€” hospitality, travel, retail, CPG or media.
  • Cloud platform certifications β€” 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 β€” 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 β€” 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 β€” not a fragmented capability team.

If you want to build the Intelligence Layer for one of the UK's most loved hospitality brands β€” and grow a team of engineers while you do it β€” 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 β€” Heineken, Mars, Sony, easyJet, ITV and Flight Centre among them β€” 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 β€” not what makes the most impressive slide.

β€œWe 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 employer: Silverbullet

At Silverbullet, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Senior Data Engineer, you will lead a talented team while working with cutting-edge technologies in the heart of the hospitality sector, providing ample opportunities for professional growth and development. Our commitment to employee well-being and success is reflected in our supportive environment, where your contributions directly impact the success of some of the UK's most beloved brands.
Silverbullet

Contact Detail:

Silverbullet Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

✨Tip Number 2

Prepare for those interviews! Research the company, understand their tech stack, and be ready to discuss how your experience aligns with their needs. We want you to walk in confident and ready to impress!

✨Tip Number 3

Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing real examples of your skills in action, especially when it comes to data engineering and problem-solving.

✨Tip Number 4

Don’t forget to follow up! After an interview, drop a quick thank-you note to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role. We believe a little courtesy goes a long way!

We think you need these skills to ace Senior Data Engineer

SQL Expertise
Treasure Data
PySpark
Databricks
Data Pipeline Development
Delta Lake Architecture
DevOps Practices
CI/CD Pipelines
Infrastructure-as-Code
Git Workflows
Production Incident Management
Team Leadership
Client-Facing Communication
Solution Design
Effort Scoping

Some tips for your application 🫑

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your hands-on SQL expertise and experience with Databricks and Treasure Data. We want to see how your skills align with what we're looking for!

Showcase Leadership Experience: Since this is a senior role, it's crucial to showcase your experience in leading a data engineering team. Share specific examples of how you've managed people, set standards, and helped engineers grow. We love seeing that growth mindset!

Be Client-Focused: Remember, you'll be the technical voice in client conversations. Use your application to demonstrate your consulting mindset and ability to translate complex technical concepts for non-technical stakeholders. We want to know you can communicate effectively!

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 any important updates. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Silverbullet

✨Know Your Tech Inside Out

Make sure you’re well-versed in SQL, PySpark, and Databricks. Brush up on your experience with Treasure Data 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

Prepare examples of how you've managed and grown a team of Data Engineers. Be ready to discuss your approach to coaching, setting standards, and handling production incidents. They’ll be looking for someone who can lead with confidence and clarity.

✨Translate Tech to Business

Practice explaining complex technical concepts in simple terms. You might need to present architecture or defend trade-offs to non-technical stakeholders. Think about how you can make your points relatable and understandable for everyone in the room.

✨Demonstrate Your Consulting Mindset

Be prepared to discuss how you’ve approached client conversations in the past. Highlight your ability to translate business problems into technical solutions and how you’ve successfully navigated challenging discussions. This role requires a strong consulting mindset, so show them you’ve got it!

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