As the Senior Business Intelligence Engineer, you will be the primary owner of a data and reporting ecosystem that already exists but has never had a dedicated owner. Cloud pipelines, a dashboard portfolio, and integrati…
Skills: Google Cloud Platform, BigQuery, Python, Tableau, SQL
As the Senior Business Intelligence Engineer, you will be the primary owner of a data and reporting ecosystem that already exists but has never had a dedicated owner. Cloud pipelines, a dashboard portfolio, and integrati…
Skills: Google Cloud Platform, BigQuery, Python, Tableau, ETL Pipelines
As the Senior Business Intelligence Engineer, you will be the primary owner of a data and reporting ecosystem that already exists but has never had a dedicated owner. Cloud pipelines, a dashboard portfolio, and integrati…
Skills: Google Cloud Platform, BigQuery, Python, Tableau, SQL
As the Senior Business Intelligence Engineer, you will be the primary owner of a data and reporting ecosystem that already exists but has never had a dedicated owner. Cloud pipelines, a dashboard portfolio, and integrati…
Skills: Google Cloud Platform, BigQuery, Python, Tableau, ETL Pipelines
As the Senior Business Intelligence Engineer, you will be the primary owner of a data and reporting ecosystem that already exists but has never had a dedicated owner. Cloud pipelines, a dashboard portfolio, and integrati…
Skills: Google Cloud Platform, BigQuery, Python, Tableau, SQL
As the Senior Business Intelligence Engineer, you will be the primary owner of a data and reporting ecosystem that already exists but has never had a dedicated owner. Cloud pipelines, a dashboard portfolio, and integrati…
Skills: Google Cloud Platform, BigQuery, Python, Tableau, ETL Pipelines
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 …
Skills: Google Cloud Platform, BigQuery, Python, Tableau, ETL Pipelines
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 …
Skills: Business Intelligence, Data Engineering, Google Cloud Platform, BigQuery, Python
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 …
Skills: Google Cloud Platform, BigQuery, Python, Tableau, ETL Pipelines
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 …
Skills: Business Intelligence, Data Engineering, Google Cloud Platform, BigQuery, Python
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 …
Skills: Business Intelligence, Data Engineering, Google Cloud Platform, BigQuery, Python
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$5k–$8k/mo
Full-time
Unlimited PTO
Posted 5d ago
~40 hrs/week
Remote in Chile
Responsibilities
The Senior Business Intelligence Engineer will own, stabilize, and re-architect the existing data and reporting ecosystem using GCP and Python-based ETL pipelines. They will also manage the Tableau dashboard portfolio and ensure data integrity to support decision-making across various business departments.
Requirements
Candidates must have 8 or more years of experience in Business Intelligence or Data Engineering, with at least 3 years of hands-on experience in Google Cloud Platform. Strong proficiency in Python, SQL, and Tableau is required, along with a proven track record of managing data platforms independently.
Full job description
As the Senior Business Intelligence Engineer, you will be the primary owner of a data and reporting ecosystem that already exists but has never had a dedicated owner. Cloud pipelines, a dashboard portfolio, and integrations across core business platforms are already in place, and this role exists because that responsibility has outgrown being split across people with other priorities.
You will inherit this ecosystem, assess it, stabilize it, and then re-architect and extend it. You will own the cloud data environment day to day, own the internal dashboard environment, and make sure leadership across Operations, Finance, People and Talent, and Sales has accurate, timely data to make decisions. As we embed AI deeper into how we operate, this role is the foundation that makes that possible, since clean, well structured data is what AI tooling depends on.
Responsibilities
Own and architect the GCP data environment, including BigQuery, Cloud Functions, Cloud Scheduler, Cloud Run, and Cloud Storage, partnering with IT on security and access
Write and maintain Python based ETL pipelines pulling data from source platforms such as Toggl, Rippling, Xero, and Salesforce into BigQuery
Own the full Tableau dashboard portfolio end to end, including connections, SQL, refresh schedules, quality control, documentation, and bug resolution
Build new dashboards for executive, director, and operational audiences that do not have reliable reporting today
Own data integrity across the analytics layer, diagnosing whether issues sit in the pipeline, the dashboard, or the source system, and routing accordingly
Be the first point of contact when a dashboard breaks or a pipeline fails, owning resolution rather than just escalation
Partner with stakeholders across Business Operations, Finance, People and Talent, Sales, and IT to translate business needs into working data solutions
A proven track record owning a data or reporting platform end to end with minimal oversight
8 or more years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a hybrid of these
3 or more years of hands on experience with Google Cloud Platform, particularly BigQuery, Cloud Functions, Cloud Scheduler, Cloud Run, and Cloud Storage
Strong Python development experience building and maintaining ETL pipelines, writing Python regularly rather than occasionally
Advanced SQL skills with experience working in cloud data warehouses
Experience designing and building Tableau dashboards from the ground up, not just consuming or modifying existing ones
Strong ability to independently diagnose data problems across pipeline, dashboard, and source system layers
Excellent communication skills, with the ability to explain technical concepts to non technical stakeholders
Active use of AI as part of your engineering workflow, such as Claude Code, GitHub Copilot, Cursor, or Codex, building with it day to day rather than only being familiar with it
English proficiency at a B2 level or above
Preferred Qualifications
Background in a professional services or project based organization
Experience at organizations with 100 to 500 employees
Azure experience
Familiarity with data modeling and analytics engineering practices such as data build tool or dimensional modeling
Experience supporting executive and director level reporting
Salary: $5,000-$7,500 USD per month
PTO: Unlimited PTO
We only accept Cvs submitted in English
Related keywords
Business IntelligenceData EngineeringAnalytics EngineeringGCPBigQueryPythonTableauSQLETLCloud FunctionsCloud SchedulerCloud RunCloud StorageTogglRipplingXero