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
- 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
Preferred Qualifications
- Background in professional services, consulting, accounting, legal, engineering, or similar project-based organizations — these environments most closely mirror Avicado's data complexity
- 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 (Avicado has some Azure environment alongside primary GCP infrastructure)
- Data modeling and analytics engineering best practices (dbt, dimensional modeling, or equivalent)
- Experience supporting executive and director-level reporting and operational analytics
Salary: $4,000 USD per month
PTO: Unlimited PTO
