Senior Data Engineer
Job Description
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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
- Deep Snowflake expertise, including architecture, modelling, optimisation, and performance tuning
- Strong experience with customer data platforms, identity resolution, and customer profile design
- Experience supporting CRM and customer engagement platforms such as Braze, Salesforce Marketing Cloud, Bloomreach, or Adobe Campaign
- Strong understanding of customer events, user attributes, audience segmentation, and lifecycle marketing use cases
- Experience with reverse ETL tools such as Hightouch or Census
- Strong SQL and dbt skills, with the ability to design scalable customer-centric data models
- Familiarity with consent management, privacy frameworks, and customer data governance
- Experience working with multi-channel customer engagement data across email, push, SMS, web, and app
- Ability to communicate complex customer data concepts to both technical and non-technical stakeholders
Desirable
- Experience implementing or supporting CDPs such as Segment, mParticle, Tealium, or RudderStack
- Familiarity with predictive modelling, AI-driven segmentation, or propensity scoring
- Experience working with loyalty, retail, QSR, financial services, or subscription customer datasets
- Understanding of Braze data structures, Currents, custom events, and Connected Content
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Massive Rocket
View Company ProfileMassive Rocket is a powerhouse global Marketing Technology (MarTech) and Data consultancy that fundamentally engineers customer loyalty and retention for massive enterprise brands. Founded in 2018 and headquartered in London, United Kingdom, the agency operates globally with a fully remote, elite workforce. Under the hood, Massive Rocket specializes in architecting "composable growth stacks"—completely bypassing monolithic legacy systems like Salesforce in favor of best-in-class, modern data infrastructure. They seamlessly integrate platforms like Snowflake, Braze, Databricks, and Hightouch to unify highly fragmented first-party data. Their primary target audience spans massive Quick Service Restaurants (QSRs like Papa Johns and KFC), global retail giants, and financial institutions that desperately need to shift from transactional, discount-driven marketing to predictive, AI-driven customer engagement. What sets Massive Rocket apart in the crowded agency landscape is their "AI Decisioning" framework and deep technical specialization (boasting over 200 successful implementations and 220+ Braze/Snowflake certifications)—empowering marketing and engineering teams to work in perfect lockstep, ultimately transforming raw customer data into predictable, scalable revenue.
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