Data Engineer: Merchant Intelligence Agent - Constructor

About Us

Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.

About the Team

We build the AI agent that helps merchandisers, product managers, and executives grow their e-commerce business: it finds opportunities in their data, tailors insights to each person's role, and takes routine work off their plate by delivering answers where they already work. We are transforming how digital merchandising teams work: instead of digging through reports and configuring rules by hand, they ask in plain language, get answers grounded in their own data, and approve the changes the agent prepares.

We own the agent end to end, from the first question a merchant asks to the answer they act on. We also own the analytics behind it: the pipelines and cubes for search, browse, and recommendation performance, and the metric definitions merchants rely on.

We build the agent and the Customer Dashboard as a platform that every Constructor team extends. We create the foundation that other teams build on: the agent framework, shared components, and infrastructure. On top of it, teams add their own data, tools, and skills, so the agent can answer questions in their domain and the dashboard can show their features without separate interfaces.

What You'll Do

• Build and own the batch pipelines and cubes behind dashboard analytics and agent insights
• Model shopper, trend, and benchmark data so the agent can find opportunities across the shopping journey
• Shape data for each role: a merchandiser's category, a product manager's funnel step, an executive's total
• Own data quality and trust: freshness, monitoring, alerting, and metric definitions
• Work with engineers, analysts, and product to find the data the agent is missing and turn merchant questions into data products
• Ship your data into the product: simple analytics UIs, and the agent skills, tools, and prompts that use it

Requirements

Must-Have

• Proficiency in Python and SQL (any dialect)
• Experience building and maintaining batch data pipelines with Spark (PySpark)
• Familiarity with the big data stack: Databricks, ClickHouse, and dbt
• Experience with data modeling for analytics: aggregated tables and cubes that feed dashboards and APIs
• Experience with data quality and pipeline monitoring: freshness checks, alerting, incident response
• Ability to prototype fast and pick the metrics that matter in e-commerce
• Ability to translate business questions into technical requirements, and back
• Clear communication with engineers and non-technical stakeholders

Nice-to-Have

• Experience building frontend UIs, or willingness to work across the full stack to ship data into product features
• Experience with pandas and NumPy
• Experience building AI agents: tools, skills, prompts, context, and evaluations
• Experience with real-time analytics: ClickHouse, Cube.js
• Experience with AWS
• Familiarity with statistics for experimentation (A/B tests)

Benefits

• 🏝️ Unlimited vacation, with a recommended minimum of 3 weeks per year
• 🌎 Fully remote team: choose where you live
• 🛋️ Work-from-home stipend to set up your home office
• 💻 Apple laptop for new employees
• 🧑‍🎓 Annual training and development budget for every employee
• 👪 Maternity and paternity leave for qualified employees
• 🧠 Smart colleagues who help you grow and make a meaningful impact
• 💵 Base salary: $80,000 - $120,000 USD
• 📈 Stock options in addition to base salary
• 🎉 Regular team offsites to connect and collaborate