Data Engineer, AI & Analytics

🔥 0 minutes ago

🇵🇪 Peru – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Power Digital Marketing

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

👥 B2C

📣 Marketing

Consulting • B2C • Marketing

Power Digital Marketing is a tech-enabled growth marketing firm that operates at the intersection of data, technology, and human intelligence to make profit predictable. The company provides a comprehensive suite of digital marketing services, including strategic consulting, creative campaigns, data intelligence, media planning, and more to ignite every phase of the customer journey. Power Digital Marketing focuses on delivering business impact through transparency, data-driven strategies, and advanced technologies, helping brands achieve sustained growth and competitive advantage in a hyper-competitive market.

📋 Description

• Design, build, and maintain the core data foundation, including ingestion, modeling, and data marts • Build resilient ingestion for ad-platform API changes, deprecated fields, rate limits, and retroactive conversion restatements • Model and reconcile spend, impressions, conversions, and revenue across Meta, Google, TikTok, Amazon, LinkedIn, Microsoft, Shopify, Klaviyo, GA4, and client CRMs • Contribute to client-bespoke modeling, custom logic, overrides, and client-specific data marts • Build semantic layers and metric definitions for consistent AI-generated SQL answers • Use AI-agentic workflows and AI coding tools to accelerate development and build intelligent data infrastructure • Document effective AI-agentic development patterns • Collaborate with nova product and engineering, AI/innovation, and client teams • Monitor and resolve data quality issues • Optimize pipelines for cost and performance across a multi-client warehouse • Meet KPIs for AI-accelerated development, data quality, pipeline reliability, client request throughput, and cross-functional enablement • Build end-to-end data systems and production-ready datasets and pipelines that enable AI features and support AI, product, agency, and client teams

🎯 Requirements

• Advanced proficiency in spoken and written English • 3+ years in data or analytics engineering • 1+ years owning a dbt project of meaningful size in production • Advanced proficiency in Python and SQL • Deep expertise in dbt, including incremental strategies, Jinja, macros, packages, tests, snapshots, source freshness, exposures, DAG, and materializations • Strong command of Snowflake and the surrounding cloud data stack • Experience modeling in a multi-tenant environment • Working knowledge of marketing and advertising datasets, including UTMs and attribution windows • Proven experience designing and managing end-to-end data lifecycles from ingestion to serving • Familiarity with cloud-native infrastructure (GCP) and infrastructure-as-code principles • Real adoption of AI-agentic development workflows, including Cursor, Claude Code, or GitHub Copilot • Ability to architect AI-ready data models, including feature stores and semantic layers • Experience with Git and CI/CD best practices and automated testing • Comfortable shipping iteratively and refining data products based on live feedback • Agency, consultancy, or services experience, measurement work, server-side tagging, and retail/marketplace data are helpful but not required

🏖️ Benefits

• Equal Opportunity Employer • People-first culture valuing diversity in backgrounds and experiences