Business Intelligence Engineer

1 month ago
Full-time
Senior
Data Science and Analytics
Sur Global Services

Sur Global Services

Sur Global Services specializes in facilitating nearshoring solutions, enabling businesses to outsource operations to neighboring countries, thereby enhancing their workforce efficiency and supporting growth in the evolving landscape of remote work.

IT Services

Description

  • Serve as the primary operator of the GCP data environment, including BigQuery, Cloud Functions, Cloud Scheduler, and Cloud Storage.
  • Write and maintain Python-based ETL pipelines that pull data from source systems and load it into BigQuery.
  • Extend the pipeline portfolio by onboarding new data sources and enabling additional reporting capabilities.
  • Automate recurring operational workflows such as scheduled data quality checks, data exports, and replacement of manual scripts with reliable GCP functions.
  • Own the full Tableau dashboard portfolio, including data connections, SQL, refresh schedules, quality control, documentation, and bug resolution.
  • Build new dashboards for executive, director, and operational audiences covering project financials, service line performance, and renewal visibility.
  • Diagnose and resolve data integrity issues across the analytics layer, including pipeline, dashboard logic, and source data problems.
  • Maintain BigQuery naming conventions, schema documentation, and dataset organization.
  • Act as the first point of contact for broken dashboards or failed pipelines and own resolution end to end.
  • Partner with stakeholders across Operations, Finance, People & Talent, Sales, and IT to translate business needs into data solutions.

Requirements

  • 5+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a hybrid role.
  • Hands-on experience with GCP, especially BigQuery, Cloud Functions, Cloud Scheduler, and Cloud Storage.
  • Strong Python development experience building and maintaining ETL pipelines.
  • Advanced SQL skills for querying cloud data warehouses and troubleshooting data quality issues.
  • Tableau proficiency with experience 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 diagnose data problems across pipeline, dashboard, and source system layers independently.
  • Strong communication skills for explaining technical concepts to non-technical stakeholders across business functions.
  • Experience using AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, Codex, or similar.
  • English proficiency at B2 level or above.
  • 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

  • Salary of $4,000 USD per month.
  • Unlimited PTO.

Interested in this position?

Apply directly on the company website

Apply Now

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