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Data Engineer, AI & Analytics

8 minutes ago
Ecuador
Full-time
Mid Level
Data Engineer
Software Development
CI/CD dbt GCP Git Google Ads LinkedIn Ads Python Shopify Snowflake SQL TikTok
Apply Now
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 107

Description

  • Design, build, and maintain ingestion pipelines, data models, data marts, and serving layers.
  • Handle advertising-platform API changes, rate limits, deprecated fields, and retroactive conversion restatements.
  • Reconcile marketing data across Meta, Google, TikTok, Amazon, LinkedIn, Microsoft, Shopify, Klaviyo, GA4, and client CRMs.
  • Develop client-specific models and marts while extending the shared data foundation where appropriate.
  • Build semantic layers and metric definitions that support accurate AI-generated SQL.
  • Use and document AI-agentic development workflows to accelerate data engineering.
  • Collaborate with client, BI, Data Ops, tagging, nova product, engineering, and AI teams.
  • Monitor data quality and optimize multi-tenant warehouse pipelines for cost and performance.
  • Deliver production data assets and pipelines that support AI, product, agency, and client teams.

Requirements

  • 3+ years of data or analytics engineering experience, including 1+ year owning a meaningful dbt project in production.
  • 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 expertise.
  • Experience modeling in multi-tenant environments and determining whether logic belongs in shared or client-specific layers.
  • 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 and infrastructure-as-code principles.
  • Hands-on experience with AI coding tools such as Cursor, Claude Code, or GitHub Copilot.
  • Experience designing AI-ready data models and semantic layers, plus Git, CI/CD, and automated testing practices.
  • Advanced spoken and written English proficiency is required.
  • Preferred: agency, consultancy, measurement, incrementality, media mix modeling, server-side tagging, retail, or marketplace data experience.

Interested in this position?

Apply directly on the company website

Apply Now

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