Senior Data Engineer (Integrations & Platforms) 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 (Integrations & Platforms), you will focus on building and maintaining the infrastructure, pipelines, APIs, and platform integrations that power our wider data ecosystem. This role is centred around moving, transforming, and operationalising data across systems — ensuring our internal platforms, client environments, and third-party tools remain connected, scalable, and reliable. You’ll work across cloud infrastructure, ETL orchestration, APIs, warehousing, and platform integrations, helping create the technical foundations that support CRM, analytics, CDP, and customer engagement use cases.   What Will You Do? Design, build, and maintain scalable ETL/ELT pipelines across internal and external systems Develop and manage integrations between data warehouses, APIs, CDPs, CRM tools, and marketing platforms Build and optimise data ingestion frameworks across batch and real-time architectures Manage API integrations, webhook frameworks, file-based ingestion, and event-driven pipelines Work closely with engineering and platform teams to ensure data is structured, accessible, and reliable Improve observability, monitoring, alerting, and performance across data pipelines and platform integrations Ensure robust governance, security, and documentation standards across all integrations Troubleshoot data delivery issues, system failures, and performance bottlenecks Support the implementation of scalable architecture patterns that can be reused across multiple clients What Makes You a Great Fit Strong experience building and maintaining APIs, webhooks, and platform integrations Strong understanding of ETL/ELT design patterns and orchestration tools Experience with cloud infrastructure such as AWS, Azure, or Google Cloud Experience with tools such as dbt, Airflow, Fivetran, Stitch, Hightouch, Segment, or similar platforms Familiarity with event streaming or messaging systems such as Kafka, Kinesis, Pub/Sub, or SQS Experience working with multiple source systems, including CRM, CDP, product analytics, and transactional systems Strong SQL and Python skills with the ability to work across multiple data environments Experience building reusable frameworks, automation, and monitoring processes Strong problem-solving skills and comfort operating across complex technical environments Preferred