Business Intelligence Engineer

Sur Global

Business Intelligence Engineer managing GCP data infrastructure and Tableau dashboards for enhanced business intelligence. Overseeing ETL operations and ensuring data integrity for decision-making across multiple departments.

Posted 7/8/2026full-timeRemote • 🇦🇷 ArgentinaMid-LevelSenior💰 $4,000 per monthWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

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 (Toggl, Rippling, Xero, Salesforce, and others) and landing data in BigQuery
Extend the pipeline portfolio to bring new data sources online and unlock reporting capabilities that do not currently exist
Automate recurring operational workflows currently running manually or locally: scheduled data quality checks, automated exports, and replacing one-off scripts with reliable GCP functions
Own the full Tableau dashboard portfolio across all internal teams: data connections, SQL, refresh schedules, QC, documentation, and bug resolution
Build net-new dashboards for audiences that don't have reliable reporting today, including executive, director, and operational views covering project financials, service line performance, and renewal visibility
Own data integrity within the analytics layer: diagnose whether issues are pipeline problems, dashboard logic problems, or source data issues, and route accordingly
Maintain naming conventions, schema documentation, and dataset organization in BigQuery
Be the first point of contact when a dashboard breaks or a pipeline fails — own resolution, not just escalation
Partner with stakeholders across Business Operations, Finance, People & Talent, Sales, and IT to translate business needs into working data solutions

Requirements

What you’ll need

5+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a hybrid of both
Hands-on GCP experience: BigQuery (primary), Cloud Functions, Cloud Scheduler, and Cloud Storage — GCP is the operating environment and non-negotiable
Strong Python development experience building and maintaining ETL pipelines; must write Python regularly, not occasionally
Advanced SQL skills with experience querying cloud data warehouses and troubleshooting data quality issues
Tableau proficiency: has built dashboards from scratch, not just consumed or made minor modifications to existing ones
Experience maintaining production reporting environments and troubleshooting data pipelines end-to-end
Familiarity with Git/GitHub version control workflows
Strong ability to diagnose data problems across pipeline, dashboard, and source system layers independently
Strong communication skills: able to explain technical data concepts to non-technical stakeholders across multiple business functions
Experience using AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Codex, or similar) — Avicado is an AI-first company and AI usage is embedded in team culture
English at B2 level or above; must be able to communicate clearly in a professional English-speaking environment.

Benefits

Comp & perks

PTO: Unlimited PTO

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLETL PipelinesData Quality ChecksData Integrity ManagementCloud FunctionsCloud SchedulerCloud StorageBigQueryAI-Assisted Development Tools

Soft Skills

Strong Communication SkillsStakeholder CollaborationProblem Diagnosis