Forward Deployed Data Engineer (Integration)
Build and deploy data pipelines that bridge customer warehouses to Hilbert’s AI growth engine, using ClickHouse, Snowflake, BigQuery, and orchestration tools like Dagster and Airbyte.
- Compensation
- Not disclosed
- Location
- Turkey
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- The Pragmatic Polyglot: You are equally comfortable optimizing a Clickhouse query as you are writing native Snowpark (Snowflake) or BigQuery SQL and comfortable implementing data orchestration scripts
- The Data Ontologist: You understand that an AI needs more than just a table; it needs context. You have the discipline to define the "meaning" behind the data.
- The "Translator": You can earn technical trust with a customer's Data Architect in minutes, extracting the logic of custom tables and mapping them to Hilbert reasoning engine.
- The "Pilot" Mindset: You are excited to use and improve AI agents that handle the heavy lifting of data discovery and pipeline scaffolding.
Nice to have
- Deep experience with dbt for warehouse-native modeling.
- Having worked with more than one state of the art data warehouse solutions and knowing the optimization strategies.
- Experience with Semantic Layer frameworks (Cube, MetricQL, etc.).
- Background in E-commerce/Retail (understanding Revenue Metrics, Order lifecycle, LTV, CAC, and Attribution etc.).
- Having built an agentic workflow before.
Full description
Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes. From Fortune 10 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert.
The Mission: Architect the Ground Truth
At Hilbert we shorten "months" to "minutes." We build the AI Growth Engine that Fortune 500 enterprises and iconic B2C brands use to navigate their revenue drivers in real-time.
The Hard Problem: Architectural Hybridity & Semantic Clarity
The challenge isn't just moving rows; it’s ensuring "Reasoning Consistency." You are responsible for making sure our AI produces the same high-quality insights regardless of where the data resides.
We need a Forward Deployed Data Engineer who can architect these bridges in any environment.
Our Current Hurdles
- The Dual-Track Challenge: We are building a system that can either pipe data into our Clickhouse stack using Dagster and Airbyte, or execute "Zero-Extract" transformations natively in the customer's warehouse. You’ll need to master both worlds.
- The AI Semantic Layer: For customers with custom datasets that don't fit our canonical models, you will build the "Translator." You’ll define the metadata and business logic so our agentic flows can "understand" custom columns without hallucination.
- Agent-Assisted Integration: We are building a Data Discovery Agent to automate the "messy" part of your job. You will prompt and partner with this agent to analyze customer data, suggest mapping alternatives, and generate the first version of pipelines automatically, slashing integration time significantly.
Who You Are (The Profile)
- The Pragmatic Polyglot: You are equally comfortable optimizing a Clickhouse query as you are writing native Snowpark (Snowflake) or BigQuery SQL and comfortable implementing data orchestration scripts using python..
- The Data Ontologist: You understand that an AI needs more than just a table; it needs context. You have the discipline to define the "meaning" behind the data.
- The "Translator": You can earn technical trust with a customer's Data Architect in minutes, extracting the logic of custom tables and mapping them to Hilbert reasoning engine.
- The "Pilot" Mindset: You are excited to use and improve AI agents that handle the heavy lifting of data discovery and pipeline scaffolding.
What You’ll Own
- Hybrid Integration: Own the technical lifecycle of new customers, choosing and implementing the best deployment path (Managed vs. ).