Data Engineer, AI & Analytics

🔥 10 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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 ingestion resilient to API changes, deprecated fields, rate limits, and retroactive conversion restatements • Model data across Meta, Google, TikTok, Amazon, LinkedIn, Microsoft, Shopify, Klaviyo, GA4, and client CRMs • Contribute to client-bespoke modeling and client-specific data marts while extending the shared foundation • Build semantic layers and metric definitions for consistent AI-generated SQL results • Use AI-agentic workflows and AI coding tools to accelerate development and build intelligent data infrastructure • Collaborate with nova product and engineering, AI/innovation, Client Service, BI, Tagging & Tracking, Data Ops, and client teams • Monitor and resolve data quality issues and optimize pipelines for cost and performance across a multi-client warehouse • Build and ship end-to-end data systems and production-ready datasets and pipelines supporting AI, product, agency, and client teams • Reduce data fragmentation by building unified, AI-ready data foundations

🎯 Requirements

• Proficiency in spoken and written English at an advanced level is required for this role • 3+ years in data or analytics engineering, including 1+ years owning a dbt project of meaningful size in production • Advanced proficiency in Python and SQL, with a focus on production-grade code for data pipelines and modeling • Deep expertise in dbt, including incremental strategies, full-refresh tradeoffs, Jinja, macros, packages, tests, snapshots, source freshness, exposures, DAG management, 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, attribution windows, and platform-reported versus warehouse-reported conversions • 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 • Demonstrated ability to architect AI-ready data models, including feature stores and semantic layers • Experience with Git and CI/CD best practices, including automated testing • Comfortable shipping iteratively and refining data products based on live feedback