Senior Data Engineer - Advertising

São Paulo · RemotecontractRemote

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senior

H1B: no

Truelogic The Senior Data Engineer builds scalable data infrastructure to support data-driven insights and AI models. This role leads technical workstreams, mentors engineers, and collaborates with Machine Learning Engineering teams to solve complex data challenges.

Responsibilities

Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving
Collaborate with the Machine Learning Engineering team to support model training, evaluation, and serving
Identify opportunities to improve team processes, tooling, and ways of working
Contribute to thought leadership, internal knowledge sharing, and community of practice efforts
Translate business needs into elegant, product-minded data solutions that drive measurable business value
Integrate marketing data sources (GA4, advertising platforms, CRMs, CDPs) into reliable, well-modeled datasets
Establish data engineering standards, documentation, and monitoring practices for data quality and reliability
Apply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery

Qualification

Deep expertise in cloud data platformsStrong product orientationProven experience mentoring othersSolid software engineering fundamentalsStrong communication skillsExperience working in complexAdvanced English (B2 or higher)Experience with data governanceFamiliarity with MLOps tooling (MLflow

Required

5+ years of data engineering experience with a strong track record of ownership and impact, including building data pipelines and infrastructure from the ground up.
Deep expertise in cloud data platforms, with clear, well-reasoned opinions on which work best and why
Proficiency in Python and SQL for data processing and ETL
Experience building and deploying data workloads in cloud environments (AWS, GCP, or Azure)
Strong product orientation, with the ability to identify opportunities, prioritize initiatives, and deliver measurable business value
Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows
Proven experience mentoring others, establishing engineering standards, and contributing to a culture of learning
Familiarity with marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs)
Solid software engineering fundamentals: version control, testing, code review, and CI/CD
Strong communication skills, with the ability to work with every technical level at an organization that is 50/50 tech and creative
Experience working in complex, ambiguous projects from definition through delivery
Advanced English (B2 or higher)

Preferred

Experience with data governance, privacy compliance, and security best practices
Experience integrating AI/ML capabilities into data pipelines, with exposure to GenAI applications
Familiarity with MLOps tooling (MLflow, SageMaker, Vertex AI) and vector databases or RAG patterns
Experience working across multiple verticals or client types
Track record of advocating for and implementing process improvements

Company

Truelogic

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Source: ashby

Active within the past hour

Remote-friendly

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