Senior Data Engineer (Databricks) - 8 months FTC

 

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.

 

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.

• 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

• 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

• 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

 

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