Senior Data Engineer CDP at Massive Rocket

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 lead the charge in crafting innovative, high-performance data solutions. Collaborating with diverse, cross-functional teams, to leverage data to drive impactful insights, strategic decisions and business outcomes. In this role, you’ll manage vast datasets, execute intricate data transformations, and design robust data models. You will bridge the gap between disparate data sources and actionable insights by building robust data integrations and managing the flow of information Your expertise will ensure our data solutions are not only efficient but also at the forefront of industry advancements. Stay ahead of the curve by integrating the latest trends and best practices into our dynamic data ecosystem. Elevate your career with us and make a significant impact through the power of data. What Will You Do?   Data Solution Design and Implementation Sett up and maintain ETL pipelines in a Snowflake environment across a variety of architectures (real-time and batch, internal/external storage systems, dynamic tables, tasks). Implement Snowflake solutions that integrate seamlessly with existing data architecture. Optimize the performance of Snowflake databases, including designing and implementing data structures and using indexes appropriately Deployment and configuration of tools to monitor and report on the performance of the Snowflake system Ensure data quality and integrity across all Snowflake data solutions (QA process, Unit Tests…)   Data Analysis and Storytelling Use large datasets and a variety of analytical techniques to tell compelling stories with the data in an easy-to-understand manner. Translate complex data analyses into actionable insights and recommendations for business stakeholders.   Strategic Data Utilisation for Customer Engagement through Braze