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Data Engineer, AI & Analytics

3 weeks, 6 days ago
Peru
Full-time
Mid Level
Data Engineer
Software Development
CI/CD Content Marketing dbt Email Marketing GCP Git Google Ads Influencer Marketing LinkedIn Ads Python SEO Shopify Snowflake Social Media Marketing 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 64

Description

  • Design, build, and maintain ingestion pipelines, data models, data marts, and serving layers.
  • Develop resilient integrations that handle 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, rather than duplicating, the shared data foundation.
  • Create semantic layers and metric definitions that enable consistent AI-generated SQL results.
  • Use AI-agentic coding workflows to accelerate development and document reusable team patterns.
  • Collaborate with product, engineering, AI, client service, BI, tagging, tracking, and data operations teams.
  • Monitor data quality, troubleshoot pipeline issues, and optimize warehouse cost and performance.
  • Launch production data assets and evaluate whether new modeling logic belongs in shared or client-specific layers.

Requirements

  • 3+ years of data or analytics engineering experience, including 1+ year owning a meaningful dbt project in production.
  • Advanced Python and SQL skills focused on production-grade pipelines and models.
  • Deep expertise with dbt, including incremental strategies, Jinja, macros, packages, tests, snapshots, freshness, exposures, DAGs, and materializations.
  • Strong Snowflake and cloud data stack experience.
  • Experience designing data models in multi-tenant environments.
  • Working knowledge of marketing and advertising data, including UTMs, attribution windows, and conversion discrepancies.
  • Experience owning end-to-end data lifecycles from ingestion through serving for BI and AI use cases.
  • Familiarity with GCP, infrastructure-as-code, Git, CI/CD, and automated testing.
  • Practical experience using AI development tools such as Cursor, Claude Code, or GitHub Copilot.
  • Experience building AI-ready data models and semantic layers.
  • Advanced spoken and written English proficiency.
  • Preferred: agency, consultancy, or services experience; measurement, incrementality, media mix modeling, attribution, server-side tagging, retail, or marketplace data experience.

Interested in this position?

Apply directly on the company website

Apply Now

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