Lead Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

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, build, and maintain scalable ETL/ELT pipelines across batch and real-time data architectures • Develop and optimise data models, transformations, and workflows using SQL, Python, and dbt • Build and maintain integrations across cloud data platforms, warehouses, and external data sources • Improve database performance, data reliability, and cost efficiency through monitoring and optimisation • Implement data quality checks, unit tests, and validation processes to maintain data integrity • Translate customer engagement and CRM data requirements into data models and pipelines powering Braze and other platforms • Work with customer events, user attributes, identity resolution, and data synchronisation to support personalised customer experiences • Collaborate with Data, Analytics, CRM, and CDP teams to align technical solutions with client requirements and business goals • Provide technical leadership, guidance, and best practices to engineers • Identify opportunities to use AI tools, automation, and emerging technologies to improve productivity and workflows • Support multiple client engagements, communicate technical recommendations, and adapt to changing priorities

🎯 Requirements

• 5+ years of experience in data engineering, data platforms, or a similar technical role • 4+ years of hands-on experience with SQL, data modelling, and ETL/ELT processes • 2+ years of experience using Python to build data applications and transformations • Practical experience with dbt and modular data transformation • Experience with cloud platforms such as AWS, Azure, or Google Cloud, and modern data integration tools • Strong understanding of data architecture, pipeline design, database performance, testing, and data quality • Experience translating business and customer engagement requirements into reliable data solutions • Experience working in an agency or consulting environment, managing multiple clients and adapting to changing priorities • Ability to work independently while collaborating effectively with cross-functional teams • Strong written and verbal English communication skills (C1 level or equivalent) • Valid work visa required; sponsorship unavailable • Contractors must provide proof of incorporation and up-to-date insurance • Desirable: hands-on experience with Snowflake, Hightouch, mParticle, or Databricks • Desirable: Snowflake SnowPro Advanced: Architect or Data Engineer certification • Desirable: experience with customer data platforms, identity resolution, audience activation, and real-time data synchronisation • Desirable: familiarity with Braze, CRM platforms, and customer engagement data models • Desirable: experience with BigQuery or Redshift • Desirable: knowledge of Power BI or Tableau • Desirable: understanding of data governance, privacy, security, and access controls • Desirable: exposure to AI/ML architectures, cloud-native AI services, or agentic workflows • Desirable: experience working in Agile or Scrum environments

🏖️ Benefits

• 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 (BYOD) policy • Valid work visa required; sponsorship unavailable • Identity checks may be requested • Two references may be requested • Contractors receive consideration for proof of incorporation and up-to-date insurance requirements