Massive Rocket | Global Braze & Snowflake Agency Logo

Massive Rocket | Global Braze & Snowflake Agency

Senior Data Engineer (Snowflake) - 6 months FTC

Posted 26 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Greece
Senior level
Remote
Hiring Remotely in Greece
Senior level
Design and optimize Snowflake data models, customer 360 views, identity resolution, segmentation, and CDP-ready schemas. Build pipelines syncing customer data to Braze, Hightouch, and related platforms. Improve performance, cost efficiency, data quality, governance, consent management, and audience activation while collaborating with CRM, marketing, analytics, and technical stakeholders.
The summary above was generated by AI
 
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 focus on designing and optimising Snowflake environments and customer data foundations that power CRM, personalisation, and audience activation.

This role is heavily centred around Snowflake architecture, data modelling, customer identity, segmentation, and enabling downstream tools such as Braze, Hightouch, and CDPs.

You’ll play a key role in helping clients turn fragmented customer data into actionable insights and scalable engagement strategies.

What Will You Do?
  • Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation
  • Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing
  • Translate customer engagement requirements into scalable Snowflake models and CDP-ready schemas
  • Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools
  • Work with identity resolution, consent frameworks, event tracking, and customer profile unification
  • Support clients in building customer 360 views and improving audience readiness across channels
  • Optimise Snowflake performance, cost efficiency, and scalability across large datasets
  • Ensure data quality, governance, and compliance across customer-facing data models
  • Collaborate closely with CRM, CDP, analytics, and marketing teams to ensure data supports business use cases
What Makes You a Great Fit
  • Deep Snowflake expertise, including architecture, modelling, optimisation, and performance tuning
  • Strong experience with customer data platforms, identity resolution, and customer profile design
  • Experience supporting CRM and customer engagement platforms such as Braze, Salesforce Marketing Cloud, Bloomreach, or Adobe Campaign
  • Strong understanding of customer events, user attributes, audience segmentation, and lifecycle marketing use cases
  • Experience with reverse ETL tools such as Hightouch or Census
  • Strong SQL and dbt skills, with the ability to design scalable customer-centric data models
  • Familiarity with consent management, privacy frameworks, and customer data governance
  • Experience working with multi-channel customer engagement data across email, push, SMS, web, and app
  • Ability to communicate complex customer data concepts to both technical and non-technical stakeholders
Desirable
  • Experience implementing or supporting CDPs such as Segment, mParticle, Tealium, or RudderStack
  • Familiarity with predictive modelling, AI-driven segmentation, or propensity scoring
  • Experience working with loyalty, retail, QSR, financial services, or subscription customer datasets
  • Understanding of Braze data structures, Currents, custom events, and Connected Content
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.

Similar Jobs

4 Days Ago
In-Office or Remote
Canada
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.
Top Skills: Ai PlatformsBusiness IntelligenceDashboardsData ContractsData FabricData VisualizationEvent TaxonomyExperimentationKnowledge GraphsKpi FrameworksOkr PlatformsProduct AnalyticsTelemetry
4 Days Ago
In-Office or Remote
Canada
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.
Top Skills: AgileAIAi AgentsAi GovernanceGxpLeanModel Evaluation
5 Days Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build, test, and ship production-grade full-stack software and AI-powered systems for Pfizer’s Medical Affairs portfolio. Integrate LLMs, agentic AI, and RAG pipelines; develop scalable systems from prototypes through production; optimize prompts for cost, latency, and quality; integrate enterprise platforms; and monitor AI/ML performance. Collaborate with architecture, product, UX, and data engineering teams while maintaining strong code quality, documentation, testing, and verification practices.
Top Skills: Agentic AiAgileApi-First DesignAWSAzureCi/CdGdprGxpHipaaLlmopsLlmsMlopsRagSalesforce Life Sciences CloudSalesforce Marketing CloudScrumVector DatabasesVeeva Crm

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account