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Data Engineer, AI & Analytics

2 weeks ago
Brazil
Full-time
Mid Level
Data Engineer
Software Development
CI/CD CRM dbt Facebook Ads GCP Git Google Ads LinkedIn Ads Python Shopify Snowflake SQL TikTok
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Power Digital Marketing

Power Digital Marketing

Power Digital Marketing is a full-service digital marketing agency that specializes in creating innovative, data-driven marketing strategies to enhance brand presence and drive measurable growth across various service sectors.

Media
251-1K
Founded 2012
View All Jobs 79

Description

  • Design, build, and maintain ingestion pipelines, data models, data marts, and serving layers.
  • Develop resilient integrations for advertising platforms despite API changes, rate limits, deprecated fields, and retroactive conversion restatements.
  • Unify marketing and customer data across Meta, Google, TikTok, Amazon, LinkedIn, Microsoft, Shopify, Klaviyo, GA4, and client CRMs.
  • Build client-specific models and marts while extending the shared core foundation where appropriate.
  • Create semantic layers and metric definitions that support consistent AI-generated SQL results.
  • Use and document AI-agentic development workflows to accelerate coding, debugging, and data infrastructure design.
  • Collaborate with product, engineering, AI, client service, BI, tagging, tracking, and data operations teams.
  • Monitor data quality, troubleshoot pipeline failures, and optimize warehouse cost and performance.
  • Launch production data assets and support adoption across agency, client, product, and AI consumers.

Requirements

  • 3+ years of data or analytics engineering experience, including at least 1 year owning a meaningful production dbt project.
  • Advanced Python and SQL proficiency for production data pipelines and modeling.
  • Deep dbt expertise, including incremental strategies, Jinja, macros, packages, tests, snapshots, freshness, exposures, DAGs, and materializations.
  • Strong Snowflake and cloud data stack experience.
  • Experience with multi-tenant data environments and core-versus-client-layer modeling decisions.
  • Working knowledge of marketing and advertising data, including UTMs, attribution windows, and conversion discrepancies.
  • Experience managing end-to-end data lifecycles from ingestion through serving for BI and AI applications.
  • Familiarity with GCP, infrastructure-as-code, Git, CI/CD, and trusted automated testing.
  • Practical experience using AI coding agents such as Cursor, Claude Code, or GitHub Copilot.
  • Experience designing AI-ready models, feature stores, or semantic layers.
  • Advanced spoken and written English proficiency.
  • Agency, consultancy, measurement, server-side tagging, retail, or marketplace data experience is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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