Data Engineer, Knowledge Graph & AI Pipelines

Paires; Poland; On-site; PLN 402,000 - 671,000; Full time

Job summary

Paires is hiring its first Data Engineer to own a centralized database powering agents and outreach. You will design, scale, and maintain a knowledge graph of companies, investors, deals, and people. Responsibilities span data quality, ingestion, and a searchable, unified data layer used by the product and AI agents.

The role is fully remote with async work, overlapping US Eastern hours for collaboration. You will work with senior engineers to build a scalable system without a traditional

Qualifications

• Proficient in SQL and Python with data pipeline experience.
• Experience owning a database used by multiple teams (CRM/knowledge graph).
• Knowledge of data quality, dedup, and entity resolution.

Responsibilities

• Own the database and ensure it scales with growing data and users.
• Design and optimize schema for fast queries and AI readiness.
• Implement ingestion and enrichment pipelines for funding rounds, news, and contacts.
• Ensure data provenance and searchability across entities (companies, investors, people).
• Collaborate with AI tooling to deliver reliable facts for agents/readers.

Skills

SQL

Python

Data modeling

Data quality

Entity resolution

Knowledge graph

Tools

Postgres

Supabase

pgvector

Job description

Paires is hiring its first Data Engineer to own a centralized database powering agents and outreach. You will design, scale, and maintain a knowledge graph of companies, investors, deals, and people. Responsibilities span data quality, ingestion, and a searchable, unified data layer used by the product and AI agents.

The role is fully remote with async work, overlapping US Eastern hours for collaboration. You will work with senior engineers to build a scalable system without a traditional