Senior Analytics Engineer

Constructor · Remote · Remote - Brazil · Remote · Remote - EMEA ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote worldwide
  • Senior level role
  • SQL + Python focus
  • Billions of daily events
  • Unlimited vacation

Constructor builds an in-house search and discovery engine for major ecommerce brands, processing over a billion queries daily. As a Senior Analytics Engineer, you will transform this massive volume of behavioral data into reliable products that drive business decisions.

You will combine technical expertise with business acumen to design pipelines, models, and dashboards. The team values empathy and curiosity, working on the bleeding edge of AI to optimize revenue and conversion metrics.

What you'll do

  • Design and build data pipelines and models for analytics and reporting
  • Create dashboards and tools to make large-scale data usable and trustworthy
  • Define and validate business metrics in collaboration with stakeholders
  • Ensure data quality, consistency, and performance across distributed systems
  • Partner with analysts and engineers to translate business needs into data solutions

What you'll need

  • Strong experience building data pipelines, models, and analytics tooling
  • Expert-level SQL skills with large-scale and distributed datasets
  • Proficiency in Python for data work and tooling development
  • Experience with modern stacks like dbt, Airflow, or similar tools
  • Ability to define business metrics and understand product funnels
  • Clear communication skills for technical and business stakeholders
  • Comfort owning an analytics area end-to-end in a fast-paced environment

Nice to have

  • Experience building customer-facing or embedded analytics
  • Background working in the ecommerce industry

Stack

  • SQL
  • Python
  • dbt
  • Airflow

How you'll work

  • Fully remote team with location flexibility
  • U.S. based company

What you get

  • Base salary between $80k and $120k USD
  • Stock options offered in addition to base salary
  • Unlimited vacation time with encouraged minimum usage
  • Work from home stipend for office setup
  • Apple laptops provided for new employees
  • Annual training and development budget
  • Maternity and paternity leave for qualified employees
  • Regular team offsite events