Senior Data Engineer

Who Are Massive Rocket? Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies. If you’re excited by innovation, love solving complex challenges, and want to help shape the future of digital experiences, you’ll feel right at home here.

Every role at Massive Rocket is entrepreneurial. The people who thrive here don’t just focus on their own remit — they understand the goals of the teams around them and actively contribute to the success of their colleagues, customers, and partners. We’re building a culture of ownership, collaboration, and growth, and we’re looking for people who want to make a real impact.

Who Are We Looking to Add to Our Team? As a Senior Data Engineer, you will focus on designing and optimising Snowflake environments and customer data foundations that power CRM, personalisation, and audience activation. This role is heavily centred around Snowflake architecture, data modelling, customer identity, segmentation, and enabling downstream tools such as Braze, Hightouch, and CDPs. You’ll play a key role in helping clients turn fragmented customer data into actionable insights and scalable engagement strategies. What Will You Do? Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing Translate customer engagement requirements into scalable Snowflake models and CDP-ready schemas Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools Work with identity resolution, consent frameworks, event tracking, and customer profile unification Support clients in building customer 360 views and improving audience readiness across channels Optimise Snowflake performance, cost efficiency, and scalability across large datasets Ensure data quality, governance, and compliance across customer-facing data models Collaborate closely with CRM, CDP, analytics, and marketing teams to ensure data supports business use cases What Makes You a Great Fit