Senior Data Engineer – Snowflake

🕒 June 29

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Massive Rocket | Data & CRM Consultancy

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Massive Rocket is a global data and CRM consultancy that operates at the intersection of modern marketing, product, and engineering. Specializing in Snowflake and Braze, Massive Rocket helps digital marketing teams connect with product and engineering departments to deliver personal, relevant, and human customer experiences at scale. The company offers a range of services including customer data management, customer engagement, marketing technology solutions, data engineering, and analytics. Massive Rocket collaborates with leading technology providers to assist in the deployment, integration, and operation of marketing technology stacks.

📋 Description

• Design and maintain Snowflake data models supporting 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 syncing 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 with CRM, CDP, analytics, and marketing teams to support business use cases

🎯 Requirements