Business Intelligence Engineer

🕒 August 5

🌐 Argentina, Colombia, +4 more countries – Remote

🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote 🇵🇾 Paraguay – Remote 🇨🇱 Chile – Remote

💵 $4k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Business Intelligence Developer

👻 Ghost score 0%

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Sur Global

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📣 Marketing

📦 Logistics

💼 Consulting

Marketing • Logistics • Consulting

Sur Global is a nearshore talent solutions provider that helps companies find and hire top remote professionals from Latin America. Positioning “E-Migration” and nearshoring as the future of work, Sur Global focuses on reducing operating costs and increasing productivity by sourcing sales, engineering, marketing, and customer success talent across countries like Brazil, Mexico and Argentina. They serve businesses looking to scale operations with LATAM remote teams and emphasize measurable ROI from nearshore hiring.

📋 Description

• Serve as the primary operator of the GCP data environment: BigQuery, Cloud Functions, Cloud Scheduler, and Cloud Storage, in close partnership with IT on security and access • Write and maintain Python-based ETL pipelines pulling from source platforms including Toggl, Rippling, Xero, and Salesforce, and landing data in BigQuery • Extend the pipeline portfolio to bring new data sources online and unlock new reporting capabilities • Automate recurring operational workflows, including scheduled data quality checks, automated exports, and replacing one-off scripts with reliable GCP functions • Own the full Tableau dashboard portfolio across internal teams, including data connections, SQL, refresh schedules, QC, documentation, and bug resolution • Build new executive, director, and operational dashboards covering project financials, service line performance, and renewal visibility • Own data integrity within the analytics layer and diagnose pipeline, dashboard logic, and source data issues • Maintain naming conventions, schema documentation, and dataset organization in BigQuery • Act as the first point of contact for dashboard failures and pipeline failures, owning resolution • Partner with Business Operations, Finance, People & Talent, Sales, and IT to translate business needs into working data solutions

🎯 Requirements

• 5+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a hybrid of both • Hands-on GCP experience with BigQuery, Cloud Functions, Cloud Scheduler, and Cloud Storage • Strong Python development experience building and maintaining ETL pipelines; must write Python regularly • Advanced SQL skills with experience querying cloud data warehouses and troubleshooting data quality issues • Tableau proficiency, including building dashboards from scratch • Experience maintaining production reporting environments and troubleshooting data pipelines end-to-end • Familiarity with Git/GitHub version control workflows • Ability to independently diagnose data problems across pipeline, dashboard, and source system layers • Strong communication skills for explaining technical data concepts to non-technical stakeholders • Experience using AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or Codex • English at B2 level or above and ability to communicate clearly in a professional English-speaking environment • Preferred: background in professional services, consulting, accounting, legal, engineering, or similar project-based organizations • Preferred: experience at companies with 100–500 employees • Preferred: Azure experience • Preferred: data modeling and analytics engineering best practices, such as dbt or dimensional modeling • Preferred: experience supporting executive and director-level reporting and operational analytics

🏖️ Benefits

• Unlimited PTO