Founding Data Engineer — Build the Data Core for AI Freight

Talent R; Paris; On-site; EUR 70,000 - 100,000; Full time

Job summary

Talent R, a Paris-based deeptech startup, is hiring its first data hire to design data foundations and shape the data team. You will build ingestion pipelines from TMS/ERP data, implement data quality, and power optimization and AI agent workflows with robust data layers.

The role demands 3+ years in data engineering, strong Python/SQL, and experience with PostgreSQL and dbt, plus an orchestration tool (Dagster, Airflow or Prefect).

Qualifications

• 3+ years in data engineering, ideally in B2B SaaS with enterprise integrations.
• Strong Python, SQL and PostgreSQL, plus dbt and an orchestrator (Dagster, Airflow or Prefect).
• A builder mindset: you like blank pages, fast decisions and shipping.
• Bonus: experience with supply chain or logistics data, or with data pipelines for LLM and agentic systems.

Responsibilities

• Ingestion pipelines that turn heterogeneous client data into clean, reliable datasets.
• Data quality, normalization and reference data for fast client onboarding.
• The data layer powering our optimization engine and agentic workflows.
• Auditable carbon reporting (ISO 14083, CSRD).

Skills

Python

SQL

Data modeling

ETL design

Tools

dbt

Dagster

Airflow

Prefect

PostgreSQL

Job description

Talent R, a Paris-based deeptech startup, is hiring its first data hire to design data foundations and shape the data team. You will build ingestion pipelines from TMS/ERP data, implement data quality, and power optimization and AI agent workflows with robust data layers.

The role demands 3+ years in data engineering, strong Python/SQL, and experience with PostgreSQL and dbt, plus an orchestration tool (Dagster, Airflow or Prefect).