Business Intelligence Engineer

Sur Global; Argentina; Presencial; ARS 61.907.000 - 74.153.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unlimited PTO

Descripción de la vacante

Sur Global is seeking a Business Intelligence Engineer to own a data and reporting ecosystem built on Google Cloud and Tableau. You will be the primary operator of BigQuery, Cloud Functions, Cloud Scheduler, and the internal Tableau environment, ensuring timely, accurate data for Operations, Finance, People & Talent, and Sales.

The role blends backend data infrastructure (approximately 60%) with BI and reporting (approximately 40%), requiring strength on both dimensions rather than

Formación

• 5+ years in Business Intelligence or Analytics Engineering or a hybrid role.
• Hands-on GCP experience: BigQuery, Cloud Functions, Cloud Scheduler, Cloud Storage.
• Strong Python development for ETL pipelines and data processing.
• Advanced SQL for cloud data warehouses and data-quality troubleshooting.
• Tableau dashboards built from scratch and production reporting experience.
• Proficient with Git/GitHub workflows and version control.
• Experience using AI-assisted development tools.
• English at B2 level or above.

Responsabilidades

• Own and operate the GCP data environment and Tableau dashboards across teams.
• Develop and maintain Python ETL pipelines pulling from Toggl, Rippling, Xero, Salesforce, and more.
• Extend data sources and analytics to enable new reporting capabilities.
• Automate recurring data workflows and replace scripts with reliable GCP functions.
• Own the full Tableau portfolio: data connections, SQL, refresh, QC, and bug fixes.
• Build new dashboards for executives, directors, and operations with clear visuals.
• Diagnose data issues across pipelines, dashboards, and source systems; route to resolution.
• Maintain consistent naming, schema docs, and dataset organization in BigQuery.
• Partner with cross-functional stakeholders to translate needs into data solutions.

Conocimientos

BI analytics

SQL

Python

Tableau

English (B2+)

Git/GitHub

Data storytelling

Cloud data concepts

AI-assisted tools

Herramientas

BigQuery

Cloud Functions

Cloud Scheduler

Cloud Storage

Tableau

Python

SQL

GitHub Copilot

Claude Code

Cursor

Descripción del empleo

As a Business Intelligence Engineer, you will take full ownership of a data and reporting ecosystem that has been built but never had a dedicated owner. The infrastructure is in place — Google Cloud pipelines, a Tableau dashboard portfolio, and integrations across the company’s core platforms — and the business has outgrown the model of splitting this responsibility across people with other priorities.

You will inherit this ecosystem, assess it, stabilize it, and then extend it. You will be the primary day-to-day operator of GCP data infrastructure, the sole owner of the internal Tableau environment, and the person who makes sure leadership across Operations, Finance, People & Talent, and Sales has accurate, timely data to make decisions.

This role sits at the intersection of data engineering and business intelligence — approximately 60% backend data infrastructure and 40% BI and reporting. The right candidate is strong on both sides, not specialized in one.

• 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

• 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
• 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)
• English at B2 level or above; must be able to communicate clearly in a professional English-speaking environment

Preferred Qualifications

• Background in professional services, consulting, accounting, legal, engineering, or similar project-based organizations
• Experience at companies with 100-500 employees: understands the data needs of a mid-size professional services organization (too small = insufficient complexity; too large = too specialized)
• Azure experience
• Data modeling and analytics engineering best practices (dbt, dimensional modeling, or equivalent)
• Experience supporting executive and director-level reporting and operational analytics

Benefits

Salary: $4,000 USD per month

PTO: Unlimited PTO