Lead Data Engineer

Sidian Inc.; Southwestern Ontario; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Job summary

Sidian Inc. in Waterloo, Ontario is seeking a Lead Data Engineer to design and build ingestion pipelines for diverse engineering data and to unify them into a structured knowledge graph.

You will lead the architecture of the knowledge graph, develop retrieval and reasoning systems for search and automation, and design scalable data models for multi-store storage.

Qualifications

• Strong Python and backend data engineering skills.
• Hands-on experience with knowledge graphs and graph databases.
• Production experience with Spark, Databricks, and Parquet.
• Experience parsing heterogeneous engineering formats into structured data.
• Evidence of initiative through a project, open-source contribution, or startup.

Responsibilities

• Build multimodal ingestion pipelines for engineering data.
• Architect the company knowledge graph.
• Develop retrieval and reasoning systems for search, recommendations, and automation.
• Design data models and polyglot storage at scale.
• Turn customer workflows into dependable products.

Skills

Python

Backend data engineering

Neo4j

Cypher

Knowledge graph

Graph databases

Apache Spark

Databricks

Parquet

Data parsing

Tools

Neo4j

Cypher

Apache Spark

Databricks

Parquet

Job description

Sidian is building the company brain for engineering firms. As Lead Data Engineer, you will design and build pipelines that ingest drawings, BIM files, PDFs, spreadsheets, documents, emails, and project history, then unify them in a structured, queryable knowledge graph.

What you will own

• Build multimodal ingestion pipelines for engineering data.
• Architect the company knowledge graph.
• Develop retrieval and reasoning systems for search, recommendations, and automation.
• Design data models and polyglot storage at scale.
• Turn customer workflows into dependable products.

What you bring

• Strong Python and backend data engineering skills.
• Hands-on Neo4j, Cypher, knowledge graph, and graph database experience.
• Production experience with Apache Spark, Databricks, Parquet, and multi-store architectures.
• Experience parsing heterogeneous engineering formats into structured data.
• Evidence of initiative through a project, open-source contribution, research build, or startup.

This is a full-time, hybrid role in Waterloo, Ontario. Compensation is to be determined, plus equity.