Senior Engineer, Data Engineering

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.

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.

• 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.
• 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.

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. 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.

Experience with MarTech / CRM activation platforms — Braze, Salesforce Marketing Cloud, Talon. Background in consumer-facing sectors — hospitality, travel, retail, CPG or media.

Cloud platform certifications — AWS preferred; 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.

The data and MarTech infrastructure you lead will profile, model and engage millions of customers in near real-time.

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.

Silverbullet is a specialist boutique partner at the intersection of data, technology and customer marketing activation. 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. Our value multiplies every time the data, tech, CRM and activation teams refer and build together.