Hybrid Data Engineer for AI Growth Engine

Hilbert; Turkey; Hybrid; TRY 450,000 - 750,000; Full time

Benefits offered by this job

Equity package

Performance-based bonuses

Collaborative culture

Job summary

Hilbert is a scalable, data science–driven growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that lead to sustainable growth. Join us as a Forward Deployed Data Engineer shaping how data moves, models, and insights are delivered to customers.

You'll architect bridges between Clickhouse, Dagster, Airbyte, and warehouse-native pipelines, define semantic rules, and partner with our AI agent to automate data discovery and pipeline scaffolding

Responsibilities

• Hybrid Integration: own the technical lifecycle of new customers, choosing and implementing the best deployment path (Managed Clickhouse vs. Warehouse-Native).
• Accelerated Onboarding: use Hilbert internal Discovery Agent to create reports and suggest mappings, moving from raw data to a working v1 pipeline quickly.
• AI Semantic Layer Construction: architect the semantic definitions for custom enterprise data, ensuring the agentic engine has ground truth for every query.
• Canonical Modeling: transform diverse source data into Hilbert unified growth models to power general ML systems.
• Enterprise Deployment: lead technical resources for high-stakes enterprise implementations, ensuring stack is packaged and performant in customer infra.

Job description

Hilbert is a scalable, data science–driven growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that lead to sustainable growth. Join us as a Forward Deployed Data Engineer shaping how data moves, models, and insights are delivered to customers.

You'll architect bridges between Clickhouse, Dagster, Airbyte, and warehouse-native pipelines, define semantic rules, and partner with our AI agent to automate data discovery and pipeline scaffolding