Lead Data Engineer

New

Massive RocketData engineering

Anywhere in Latin AmericaContractLead

Salary not disclosed

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Job Details

Languages: Strong written and verbal English communication skills (C1 level or equivalent).
Experience: 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.
Required Skills: AWSPythonSQLGCPSnowflakeAzureData modelingdbt

Have 5+ years of experience in data engineering, data platforms, or a similar technical role, with ownership of architecture, implementation, and optimisation.
Have 4+ years of hands-on experience with SQL, data modelling, and ETL/ELT processes.
Have 2+ years of experience using Python to build data applications and transformations.
Have practical experience with dbt and modular data transformation.
Have experience with cloud platforms such as AWS, Azure, or Google Cloud, and modern data integration tools.
Understand data architecture, pipeline design, database performance, testing, and data quality.
Have experience translating business and customer engagement requirements into data solutions.
Have experience in an agency or consulting environment, managing multiple clients and adapting to changing priorities.
Have strong written and verbal English communication skills at C1 level or equivalent.
For contractors, provide proof of incorporation and up-to-date insurance.
Desirable: experience with Snowflake, Hightouch, mParticle, or Databricks; Snowflake SnowPro Advanced certification; CDPs, identity resolution, audience activation, Braze, CRM platforms, and customer engagement data models.

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.
Monitor and optimise database performance, data reliability, and cost efficiency.
Implement data quality checks, unit tests, and validation processes.
Translate customer engagement and CRM data requirements into data models and pipelines for Braze and other platforms.
Work with customer events, user attributes, identity resolution, and data synchronisation.
Collaborate with Data, Analytics, CRM, and CDP teams to align technical solutions with client requirements and business goals.
Provide technical leadership, guidance, and engineering best practices.
Support multiple client engagements and communicate technical recommendations.

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