Data Analytics Engineer (GCP)

RHR International is a globally respected leadership consulting firm dedicated to helping leaders master the art and science of leadership. They are seeking a Data Analytics Engineer (GCP) to strengthen their analytics foundation in a GCP-first environment, focusing on designing scalable datasets and improving data reliability while owning reporting products.

Responsibilities:

• Build and maintain curated datasets and reporting/semantic layers (views/models) in GCP, including BigQuery
• Able to write solid production SQL (joins, aggregations; performance-aware patterns as you grow)
• Establish standards for definitions, documentation, and repeatability
• Own and improve dashboards and reporting products (currently including Looker Studio)
• Collaborate with stakeholders to define metrics and ensure reporting matches business needs
• Improve dashboard usability and reliability (refresh logic, metric consistency, clarity)
• Build pragmatic automations that reduce manual effort and improve data workflows
• Work where appropriate with Google-native automation patterns (e.g., scheduled jobs, scripts, orchestrated tasks)
• Partner on data movement across SaaS platforms using tools and patterns like Celigo, APIs, webhooks, and imports/exports
• Support analytics needs that require bringing data in/out of vendor platforms (without owning vendor product configuration)
• Help evaluate and recommend the right data platform and BI tooling as needs evolve, balancing usability, cost, security, and maintainability

Requirements:

• Strong analytical and engineering mindset; you build foundations, not just outputs. (5+ years in analytics/data/engineering-adjacent roles)
• Comfortable operating in ambiguity and creating structure (definitions, documentation, repeatability)
• Data Architecture & Data Modeling (3+ years)
• Strong communication with technical and non-technical stakeholders
• GCP experience, including BigQuery. (5+ years)
• Comfortable with GitHub and standard development practices. (3+ years)
• Familiarity with secure engineering practices (e.g., secrets management, least privilege, avoiding credentials in source control). (5+ years)
• Expectation: all code in source control (SQL, scripts, docs, lightweight tooling)
• Dashboard/reporting experience (Looker Studio experience is a plus). (1+ years)
• Familiarity with modern data workflows and basic modeling concepts. (2+ years)
• Working proficiency with Python and JavaScript / Google Apps Script for data work (ingestion, transformation, automation). (1+ years)
• Comfort using Docker to run and ship repeatable data tooling. (1+ years)
• Comfortable operating in GCP beyond BigQuery (e.g., Cloud Console, IAM basics, service accounts, scheduled jobs). (2+ years)
• Experience with iPaaS/integration patterns (e.g., Celigo) is a plus
• Exposure to Tableau/Alteryx environments and modernization paths. (1+ years)
• Interest in low-code platforms (e.g., OutSystems) is a plus
• Comfort using AI assistants (including Google Gemini and ChatGPT) to accelerate analysis and development workflows, with good judgment about data sensitivity and safe usage
• Google Cloud Professional Cloud Architect
• Google Cloud Professional Cloud DevOps Engineer
• Google Cloud Professional Cloud Security Engineer
• Google Cloud Professional Data Engineer
• Google Cloud Associate Cloud Engineer
• Looker Business Analyst
• dbt Labs certifications