Semantic Automation Engineer

Schema App

Semantic Automation Engineer at Schema App driving reliable data connectivity across business systems. Designing integrations, automating workflows, and transforming business data into a unified semantic layer.

Posted 4/26/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSETLGraphQLPython

About the role

Key responsibilities & impact

Collaborate with business stakeholders and technical teams to identify and prioritize opportunities to evolve existing systems through integration, automation, and improved data flow integrity
Partner with the Ontologist to model and transform business data into a unified semantic source of truth within the knowledge graph
Design and deploy robust integrations using a 'right tool for the job' approach—leveraging low-code platforms (e.g., Make.com, Zapier) for standard workflows and custom Python scripting for complex logic, data transformation, or non-standard API endpoints
Develop and consume RESTful or GraphQL APIs to bridge gaps between SaaS platforms and the knowledge graph
Build responsive, event-driven data flows that support real-time synchronization, minimizing latency and eliminating manual data entry across departmental silos
Ensure the reliable, bidirectional synchronization of key business entities (e.g., customers, addresses, transactions) across core systems, maintaining data accuracy and consistency

Requirements

What you’ll need

Strong business analysis skills to translate stakeholder needs into scalable, semantic automation solutions
High attention to detail and a strong focus on data quality across customer, financial, and operational data
Effective communicator, able to collaborate with both technical teams and business stakeholders to evolve systems strategically
Hands-on experience with low-code/no-code platforms (e.g., Make.com, Zapier)
Proficient in Python (specifically for data manipulation) to build custom middleware, automate ETL tasks, and interact with REST/GraphQL APIs independently
Working knowledge of RDF, OWL, and graph databases (preferably AWS Neptune)
Ability to design event-driven workflows and extend third-party platform capabilities (e.g., HubSpot, Stripe) using vendor toolkits and APIs
Proficient in applying AI tools (e.g., GPT, automation co-pilots) for data enrichment and transformation tasks

Benefits

Comp & perks

Great benefits for health & wellness, and your coverage starts as soon as you do
RRSP matching
Flex days to re-energize on top of vacation days
You don’t work on your birthday
The Culture Club keeps our virtual team connected through fun and innovative events

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonRESTful APIsGraphQL APIsdata manipulationETLevent-driven workflowsdata transformationlow-code platformsRDFOWL

Soft Skills

business analysisattention to detaildata quality focuseffective communicationcollaboration