Lead Data Engineer

Massive Rocket | Data & CRM Consultancy

. Design, build, and maintain scalable ETL/ELT pipelines across batch and real-time data architectures .

Posted 10/26/2026contractRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines, optimizing data models, and ensuring data integrity through rigorous testing and validation. Proficient in collaborating with cross-functional teams to translate business requirements into effective data solutions while leveraging cloud platforms and modern data integration tools.

Highest-signal resume keywords

ETL/ELT Pipeline DesignSQL Data ModellingPython Data TransformationsCloud Platform ExperienceData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETLELTData ModellingDbtData ArchitectureDatabase PerformanceData IntegrationData Quality Checks

Soft Skills

CollaborationCommunicationAdaptabilityTechnical LeadershipClient Management

Tools & Technologies

AWSAzureGoogle CloudSnowflakeHightouchMParticleDatabricksBigQueryRedshiftPower BI

Certifications & Qualifications

Snowflake SnowPro Advanced: ArchitectData Engineer Certification

Industry Keywords

Data EngineeringCustomer Data PlatformsIdentity ResolutionAudience ActivationReal-Time Data SynchronisationAgileScrumData GovernancePrivacySecurity

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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