Senior Data Engineer (Databricks) - 8 months FTC

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 (Databricks) at Massive Rocket, you’ll build the data foundation that powers modern, event-driven customer engagement for our enterprise clients.

You’ll design and maintain scalable data pipelines that move customer data from complex legacy and operational systems into Databricks, and onward through platforms such as mParticle and Braze. Your work will enable CRM and marketing teams to access accurate, governed, near real-time customer data and activate personalised experiences across email, push, in-app, and other channels.

Working as part of an embedded Agile delivery team, you’ll combine strong data engineering expertise with an understanding of customer data, identity resolution, CDPs, and Martech activation. You’ll play a key role in replacing fragmented, batch-based processes with reliable data foundations that support real-time customer engagement.

What Will You Do?

• Design and maintain scalable batch and near real-time data pipelines in Databricks, integrating data from legacy systems, POS, web, app, CRM, and other sources
• Build unified customer profiles and support identity resolution, deduplication, enrichment, and Golden Record creation
• Design and optimise data flows from Databricks through mParticle and into Braze to power customer journeys and audience activation
• Develop automated data quality, validation, governance, and monitoring frameworks to ensure reliable and compliant customer data
• Enable CRM and marketing teams to access trusted, activation-ready audiences and customer data with minimal latency
• Work with customer consent, preferences, and PII across data flows, ensuring compliance with frameworks such as GDPR and CCPA/CPRA
• Troubleshoot pipeline and integration issues, improve reliability and performance, and optimise data consumption and infrastructure costs
• Collaborate with CRM, Martech, Product, Analytics, and Data teams within an Agile delivery environment
• Provide technical guidance through code reviews, mentoring, documentation, and data engineering best practices
• Support analytics and reporting use cases across Databricks and platforms such as ThoughtSpot

What Makes You a Great Fit

• 5+ years of experience in Data Engineering, with strong hands-on experience building production data pipelines
• Deep experience with Databricks, including Spark, PySpark, Structured Streaming, Delta Lake, and both batch and near real-time processing
• Strong Python, SQL, and data modelling skills, with experience designing scalable data architectures
• Proven experience integrating complex upstream or legacy data sources with downstream Martech, CDP, or customer engag…