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 engagement platforms
Strong understanding of customer data concepts including identity resolution, unified customer profiles, deduplication, enrichment, customer events, and audience management
Experience working with CDPs or customer engagement platforms, particularly mParticle and/or Braze, and understanding how customer data moves between these systems
Strong understanding of data quality, governance, privacy, consent management, and handling customer PII
Experience with cloud platforms such as AWS, Azure, or GCP, alongside Git and CI/CD practices
Strong problem-solving and communication skills, with the ability to explain technical concepts to non-technical stakeholders
Experience working in an agency, consultancy, or client-facing environment within Agile delivery teams
English proficiency at C1 level
Desirable
Databricks certification such as Data Engineer Associate or Professional
Experience with streaming, CDC, or event-driven technologies and patterns
Experience with Delta Sharing, reverse ETL, or warehouse-native activation
Experience with OneTrust or similar consent and preference management platforms
Familiarity with ThoughtSpot, Tableau, Power BI, or other analytics platforms
Experience working with high-volume B2C or consumer datasets
Experience working with customer data within Martech, CRM, loyalty, retail, travel, or other B2C environments
Proven ability to use AI tools to improve engineering productivity and day-to-day workflows
Why You’ll Love Working Here
Rocket‑Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else
A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win
A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond
Remote‑First for Life – Work from wherever you feel your best
Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter
Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable
A Few Things to Know Before We Get Started
Bring Your Own Device – We operate a BYOD policy, so you’ll use your own kit for work
Right to Work – You’ll need a valid work visa; we’re not able to offer sponsorship at the moment
ID Checks – We may ask for proof of identity (passport, ID card, or a recent utility bill)
References – We may request two references, so have names, relationships, and contact details ready
For Contractors – Proof of incorporation and up‑to‑date insurance is required
A Quick Note on Applications
We receive a high volume of applications, and while we’d love to reply to everyone personally, it’s not always possible. If you haven’t heard from us within two weeks, it sadly means you haven’t been successful this time. But don’t let that stop you—we’re growing fast, and new opportunities open up all the time.