Senior Analytics Engineer

Constructor
Rio de Janeiro, Munich, United Kingdom
Workplace: RemoteFull timeUSD 80,000 - 120,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Communication","Ownership","Collaboration","Empathy","Curiosity"]

Turn billions of daily events into reliable analytics products—pipelines, models, dashboards, and tools that help teams and customers make better decisions. You’ll design scalable data models and data quality/performance improvements, define and validate business metrics with stakeholders, and partner across analysts, engineers, and product. The role uses SQL, Python, and modern analytics stacks like dbt and Airflow at extreme scale.

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FursaFursa
Constructor
Constructor
1 week ago

Senior Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Turn billions of daily events into reliable analytics products—pipelines, models, dashboards, and tools that help teams and customers make better decisions. You’ll design scalable data models and data quality/performance improvements, define and validate business metrics with stakeholders, and partner across analysts, engineers, and product. The role uses SQL, Python, and modern analytics stacks like dbt and Airflow at extreme scale.
Location: Rio de Janeiro, Munich, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design and build data pipelines and data models that power analytics and reporting.
  • •Build dashboards, reports, and tools to make large-scale behavioral data usable and trustworthy.
  • •Define and validate business metrics with stakeholders, translating needs into data solutions.
  • •Ensure data quality, consistency, and performance across systems processing billions of events.
  • •Partner with analysts, engineers, and product managers to deliver well-designed data products end to end.

Pay and Benefits

Salary: USD 80,000 - 120,000 annually
Equity and Bonus:Equity
Perks:Remote WorkPaid LeaveHome OfficeLearning BudgetParental Leave

Key Requirements

  • •Strong experience building data pipelines, data models, and analytics tooling.
  • •Expert-level SQL and experience working with large-scale datasets and distributed data systems.
  • •Experience with Python for data work and tooling.
  • •Experience with modern analytics stacks such as dbt and Airflow (or similar).
  • •Experience defining and validating business metrics and understanding why they matter.
Experience:E-commerceAIAnalyticsData platforms
Skills:CommunicationOwnershipCollaborationEmpathyCuriosity
Tech Stack:SQLPythonDbtAirflowTransformersGenerative LLMs

Company Brief

Constructor
Provides an AI-powered site search and product discovery platform for e-commerce and retailers, improving search relevance, recommendations, personalization, and merchandising to boost conversions and average order value.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
WebsiteLinkedIn